The document discusses conceptClassifier, a product from Concept Searching that provides automatic semantic metadata generation and classification of documents in SharePoint. It extracts concepts using compound term processing to tag documents with metadata and classify them into appropriate taxonomy nodes. This reduces the time and cost of manual metadata tagging while improving search, navigation, and other business processes that rely on high-quality metadata. The product demonstrates how metadata can be generated, applied consistently across document sources, and used to drive governance, records management, compliance and other enterprise initiatives when integrated with SharePoint.
Optimize and Organize Your Content with conceptClassifier for File Shares Concept Searching, Inc
This demo show how to effectively cleans up, optimize, and organize your file share content. The conceptClassifier for File Shares utility makes file shares discoverable, searchable, optimized and organized. It automatically tags and classifies documents to a term set for improving search and eDiscovery, and preparing content for migration.
Anyone can tag a document, but that is the problem. People will tag with varying degrees of accuracy, or worse still, with no accuracy. If documents are tagged accurately, then controlling and managing unstructured documents correctly is made possible. This session will review the pitfalls of manual tagging, and demonstrate the current capabilities of automatic document classification. It will also explore how intelligent metadata solutions benefit business operations, by improving migration, records management, deduplication and search.
Coexist or Integrate? How Add-ins Deliver an Integrated Environment to Manage...Concept Searching, Inc
Are you successfully managing your unstructured content? Have you quantified the risks and costs of not proactively managing your content? Did you know that you can dramatically improve search, eDiscovery, security, records management, migration, collaboration, text analytics, and business social applications, just by getting your unstructured content in order?
There are key solutions that will enable you to achieve these improvements. conceptClassifier for SharePoint and conceptClassifier for Office 365 automatically generate multi-term metadata that form concepts. Imagine it – eliminating end user tagging.
Auto-classification and one natively integrated taxonomy/ Term Store, available on-premises, in the cloud, or in a hybrid environment, provide the backdrop for a single enterprise search, regardless of where end users are located. Tackle information governance and standardize processes across the entire enterprise.
The availability of these solutions as add-ins reduces time, costs, and resources, including those of both hardware and technical experts – a typical drain on SharePoint resources. Join us as we explore why you should evaluate add-ins, and how you can finally take charge of your content to meet a variety of challenges and achieve a significant ROI.
AWS Summit Singapore - Accelerate Digital Transformation through AI-powered C...Amazon Web Services
Andrew McIntyre, Director of Strategic ISV Alliances, Informatica
Modernizing your analytics capabilities to deliver rapid new insights is critical to successfully drive data-driven digital transformation. Many organizations find it challenging to connect, understand and deliver the right data to generate new insights. Learn about the latest patterns, solutions and benefits of Informatica's next-generation Enterprise Data Management platform to unleash the power of your data through the modern cloud data infrastructure of AWS. See how you can accelerate AI-driven next-generation analytics by cataloging and integrating structured and unstructured data from hundreds of data sources from multiple on-premises and cloud data sources.
Concept Searching, developer of automatic semantic metadata, auto-classification, and taxonomy management, has teamed with WAND, developer of industry and business function specific foundation taxonomies, to make developing, deploying, and using taxonomies simple.
Are your end users disappointed with their search results? Can they find exactly what they need, when they need it, and in the right format?
Learn how to immediately take advantage of unique multi-word concept identification capabilities to rapidly classify unstructured and semi-structured content, aligned with organizational goals and eliminating end user tagging.
This drives improved outcomes in search transparency, information governance, and collaboration across the enterprise, and further refines taxonomies and the SharePoint Term Store.
Understand how to achieve a return on your investment and get your organization’s taxonomies up and running in just two to three weeks.
• The value of this combined offering, set against traditional approaches
• What are foundation taxonomies
• How to rollout taxonomies across an organization
• Ways to manage and change taxonomies
With the increase in unstructured information, organizations are looking for new ways to not only improve their search and retrieval process, but also manage and leverage their information assets to improve performance when migrating information.
In this webinar InfoStrata Solutions and Concept Searching will discuss strategies for analyzing your existing information, to categorize and prioritize your assets prior to migrating to SharePoint. We will explore how to leverage the Term Store in different ways to manage content, and how migration and storage costs can be reduced by de-duplicating, removing, or archiving obsolete content.
What you will take away from this session:
• Understand the migration process, to ensure important content is not lost
• Learn how Concept Searching’s Smart Content Framework™ can provide a new way to undertake bulk migrations
• Learn strengths and weaknesses of the information management capabilities of SharePoint 2010 and 2013
• Best practices on managing content with the Term Store
• The difference between a proprietary taxonomy solution and a fully integrated Term Store solution
• Intuitive and unique features in conceptTaxonomyManager that integrate with the SharePoint Term Store, leveraging metadata to drive business value
Speakers:
Mark Adams, Director at InfoStrata Solutions
Paul Billingham, Sales Director of Europe at Concept Searching
John Challis, Founder and CTO at Concept Searching
conceptTermStoreManager – The Native SharePoint Utility to Manage Term Sets W...Concept Searching, Inc
conceptTermStoreManager is a new SharePoint on-premises and SharePoint Online utility that provides native integration with the SharePoint Term Store and the Managed Metadata Service application, where changes in the Term Store can easily be synchronized between SharePoint farms.
The solution was developed to overcome and solve the limitations of the SharePoint Term Store to effectively manage term sets across SharePoint farms and SharePoint Online. conceptTermStoreManager works with SharePoint 2013 and Office 365, and will be available in SharePoint 2016.
This webinar will be of value to any SharePoint organization that is starting to use or currently uses the Managed Metadata Service application, and would like to resolve issues that occur when trying to manage term sets across multiple farms and environments.
The webinar is focused on the technical aspects of the utility and will contain an in-depth demonstration, exploring what conceptTermStoreManager offers:
• Direct synchronization of term sets between two environments
• Synchronization between disconnected environments via an export/import process
• Synchronization from SharePoint 2013 to Office 365
• Backup and restore of term sets using XML files
• Support for Office 365 and SharePoint Online
• Support for all SharePoint 2013 Term Store facilities
• Preservation of term GUIDs when updating existing term sets
• Identical on-premises and Office 365 Term Stores for hybrid customers
• Advanced merge options
Optimize and Organize Your Content with conceptClassifier for File Shares Concept Searching, Inc
This demo show how to effectively cleans up, optimize, and organize your file share content. The conceptClassifier for File Shares utility makes file shares discoverable, searchable, optimized and organized. It automatically tags and classifies documents to a term set for improving search and eDiscovery, and preparing content for migration.
Anyone can tag a document, but that is the problem. People will tag with varying degrees of accuracy, or worse still, with no accuracy. If documents are tagged accurately, then controlling and managing unstructured documents correctly is made possible. This session will review the pitfalls of manual tagging, and demonstrate the current capabilities of automatic document classification. It will also explore how intelligent metadata solutions benefit business operations, by improving migration, records management, deduplication and search.
Coexist or Integrate? How Add-ins Deliver an Integrated Environment to Manage...Concept Searching, Inc
Are you successfully managing your unstructured content? Have you quantified the risks and costs of not proactively managing your content? Did you know that you can dramatically improve search, eDiscovery, security, records management, migration, collaboration, text analytics, and business social applications, just by getting your unstructured content in order?
There are key solutions that will enable you to achieve these improvements. conceptClassifier for SharePoint and conceptClassifier for Office 365 automatically generate multi-term metadata that form concepts. Imagine it – eliminating end user tagging.
Auto-classification and one natively integrated taxonomy/ Term Store, available on-premises, in the cloud, or in a hybrid environment, provide the backdrop for a single enterprise search, regardless of where end users are located. Tackle information governance and standardize processes across the entire enterprise.
The availability of these solutions as add-ins reduces time, costs, and resources, including those of both hardware and technical experts – a typical drain on SharePoint resources. Join us as we explore why you should evaluate add-ins, and how you can finally take charge of your content to meet a variety of challenges and achieve a significant ROI.
AWS Summit Singapore - Accelerate Digital Transformation through AI-powered C...Amazon Web Services
Andrew McIntyre, Director of Strategic ISV Alliances, Informatica
Modernizing your analytics capabilities to deliver rapid new insights is critical to successfully drive data-driven digital transformation. Many organizations find it challenging to connect, understand and deliver the right data to generate new insights. Learn about the latest patterns, solutions and benefits of Informatica's next-generation Enterprise Data Management platform to unleash the power of your data through the modern cloud data infrastructure of AWS. See how you can accelerate AI-driven next-generation analytics by cataloging and integrating structured and unstructured data from hundreds of data sources from multiple on-premises and cloud data sources.
Concept Searching, developer of automatic semantic metadata, auto-classification, and taxonomy management, has teamed with WAND, developer of industry and business function specific foundation taxonomies, to make developing, deploying, and using taxonomies simple.
Are your end users disappointed with their search results? Can they find exactly what they need, when they need it, and in the right format?
Learn how to immediately take advantage of unique multi-word concept identification capabilities to rapidly classify unstructured and semi-structured content, aligned with organizational goals and eliminating end user tagging.
This drives improved outcomes in search transparency, information governance, and collaboration across the enterprise, and further refines taxonomies and the SharePoint Term Store.
Understand how to achieve a return on your investment and get your organization’s taxonomies up and running in just two to three weeks.
• The value of this combined offering, set against traditional approaches
• What are foundation taxonomies
• How to rollout taxonomies across an organization
• Ways to manage and change taxonomies
With the increase in unstructured information, organizations are looking for new ways to not only improve their search and retrieval process, but also manage and leverage their information assets to improve performance when migrating information.
In this webinar InfoStrata Solutions and Concept Searching will discuss strategies for analyzing your existing information, to categorize and prioritize your assets prior to migrating to SharePoint. We will explore how to leverage the Term Store in different ways to manage content, and how migration and storage costs can be reduced by de-duplicating, removing, or archiving obsolete content.
What you will take away from this session:
• Understand the migration process, to ensure important content is not lost
• Learn how Concept Searching’s Smart Content Framework™ can provide a new way to undertake bulk migrations
• Learn strengths and weaknesses of the information management capabilities of SharePoint 2010 and 2013
• Best practices on managing content with the Term Store
• The difference between a proprietary taxonomy solution and a fully integrated Term Store solution
• Intuitive and unique features in conceptTaxonomyManager that integrate with the SharePoint Term Store, leveraging metadata to drive business value
Speakers:
Mark Adams, Director at InfoStrata Solutions
Paul Billingham, Sales Director of Europe at Concept Searching
John Challis, Founder and CTO at Concept Searching
conceptTermStoreManager – The Native SharePoint Utility to Manage Term Sets W...Concept Searching, Inc
conceptTermStoreManager is a new SharePoint on-premises and SharePoint Online utility that provides native integration with the SharePoint Term Store and the Managed Metadata Service application, where changes in the Term Store can easily be synchronized between SharePoint farms.
The solution was developed to overcome and solve the limitations of the SharePoint Term Store to effectively manage term sets across SharePoint farms and SharePoint Online. conceptTermStoreManager works with SharePoint 2013 and Office 365, and will be available in SharePoint 2016.
This webinar will be of value to any SharePoint organization that is starting to use or currently uses the Managed Metadata Service application, and would like to resolve issues that occur when trying to manage term sets across multiple farms and environments.
The webinar is focused on the technical aspects of the utility and will contain an in-depth demonstration, exploring what conceptTermStoreManager offers:
• Direct synchronization of term sets between two environments
• Synchronization between disconnected environments via an export/import process
• Synchronization from SharePoint 2013 to Office 365
• Backup and restore of term sets using XML files
• Support for Office 365 and SharePoint Online
• Support for all SharePoint 2013 Term Store facilities
• Preservation of term GUIDs when updating existing term sets
• Identical on-premises and Office 365 Term Stores for hybrid customers
• Advanced merge options
Why an AI-Powered Data Catalog Tool is Critical to Business SuccessInformatica
Imagine a fast, more efficient business thriving on trusted data-driven decisions. An intelligent data catalog can help your organization discover, organize, and inventory all data assets across the org and democratize data with the right balance of governance and flexibility. Informatica's data catalog tools are powered by AI and can automate tedious data management tasks and offer immediate recommendations based on derived business intelligence. We offer data catalog workshops globally. Visit Informatica.com to attend one near you.
Metadata used to be an afterthought. Now, metadata is a pre-requisite and the optimal mechanism to drive business processes like security and records and, of course, to manage content.
In this session Robert Piddocke, our Vice President of Channel and Business Development – passionate about information management, and author of books on SharePoint Search – explores how going meta helps transcend typical metadata use.
Robert discusses SharePoint functionality and what needs to be put in place to deploy a metadata-driven enterprise and build a framework for the future, and how metadata can be used to automate and drive business processes, and proactively manage content.
Speaker:
Robert Piddocke – Vice President of Channel and Business Development at Concept Searching
Coexist or Integrate? Manage Unstructured Content from Diverse Repositories a...Concept Searching, Inc
Are you successfully managing your unstructured content? Have you quantified the risks and costs of not proactively managing your content? Did you know that you can dramatically improve search, eDiscovery, security, records management, migration, collaboration, text analytics, and business social applications, just by getting your unstructured content in order? Learn how to effectively clean up, optimize, and organize your file share content.
There are key solutions built on core technology platforms that will enable you to achieve these improvements. The conceptClassifier for SharePoint and conceptClassifier for Office 365 platforms automatically generate multi-term metadata that form concepts. Imagine it – eliminating end user tagging.
And the conceptClassifier for File Shares utility makes file shares discoverable, searchable, optimized, and organized. It automatically tags and classifies documents to a term set, for improving search and eDiscovery, and preparing content for migration.
Auto-classification and one natively integrated taxonomy/Term Store, available on-premises, in the cloud, or in a hybrid environment, provide the backdrop for a single enterprise search, regardless of where end users are located. Tackle information governance and standardize processes across the entire enterprise.The team from C/D/H provided the knowledge, planning, and optimization to intelligently migrate the manufacturer’s content from on-premises Search 2013 to the Office 365 Hybrid Search platform, using Concept Searching’s new utility, conceptClassifier for Hybrid Search.
The solution allows any of the 40,000 users to search 20 million documents from over 30 content sources, securely and within seconds. It leveraged the Microsoft Azure cloud platform, which reduced the required infrastructure tenfold, while improving performance and reducing complexity in the digital workplace.
Steve Mann will be joined by Steve Smith, Consultant from strategic partner C/D/H
“A survey of corporate CIOs and general counsels found that, typically, 69% of the data most organizations keep can – and should – be deleted.”
Compliance, Governance and Oversight Counsel (CGOC) Summit
So what happens to the 69%? Most likely it will get migrated with no rhyme or reason. Just because it seems easier. And the organization is still left with mismanaged, useless information. That’s only one migration scenario. Migrations can be fraught with delays, budget overruns, and overall frustration. Register for this practical and informative webinar on March 25th, sponsored by Portal Solutions and Concept Searching and learn how you can eliminate migration challenges and reach the pinnacle of success.
What you will take away:
• Learn from Portal Solutions, an industry recognized SharePoint firm, the best practices and processes to approach migration
• Understand the key challenges that need to be overcome before migration
• Obtain buy-in and build the business case on why migration adds value and does not just move content from one place to another
• Take away a clear vision of the steps involved during migration and the phases to be accomplished
• Hear about Intelligent Migration technologies using conceptClassifier for SharePoint
• See how the technology is a key component in a migration solution
• Find the ROI of using one set of technologies to facilitate the migration process, and deploy metadata enabled solutions for search, content management, data protection, records management, and any application that uses metadata.
This session introduces metadata and its full use in SharePoint, both on-premises and Online. It explores best practices on how meaningful metadata can save time and money, improve user experience, and determine the overall success of collaboration and document management.
Robert Piddocke – with over a decade of experience in SharePoint, passionate about information management, and the author of two books on SharePoint Search – discusses business values and considerations involved when determining how to govern information in SharePoint and SharePoint Online.
Learn how going meta helps transcend typical SharePoint information architecture, and understand how to realize the potential of intelligent content in context.
Speaker(s)
The Nuts and Bolts of Metadata Tagging and Taxonomies Made Easy WebinarConcept Searching, Inc
Taxonomies are often thought of as hard to use and needing specialized applications or IT skills. Not so with Concept Searching’s unique technologies.
Join Michael Paye, our CTO, to see how taxonomies, auto-classification, and multi-term metadata generation unburden the IT team, eliminate end user tagging, and empower business users.
Understand the return on investment from an effective infrastructure solution for search, security, compliance, eDiscovery, records management, knowledge management, collaboration, and migration activities.
• Learn how our solution can meet either one challenge or several, and see how it works with different applications
• Watch multi-term metadata being automatically generated
• See how easy it is to use unique taxonomy tools and interactive features, such as clue suggestion, instant feedback, and assigning weights to terms
• Discover the value of dynamic screen updating to immediately see the impact of taxonomy changes
• View how document movement feedback enables you to see the cause and effect of changes without re-indexing
Still looking at SharePoint metadata management, auto-classification and taxonomy solutions? You should be. Manual tagging and the Term Store won’t solve your problems, which are only going to get worse.
We’ve taken our industry leading conceptClassifier for SharePoint and conceptClassifier for Office 365 products and made them into add-ins.
Take your pick – SharePoint solution or add-in solution. We offer both. This webinar explains why an add-in and conceptClassifier will deliver your strategy for the future.
Both solutions are available on-premises, online, or in a hybrid environment. We have it covered.
SharePoint and Office 365 State of the Market Survey Results WebinarConcept Searching, Inc
This engaging and thought-provoking bird’s-eye view of projects your SharePoint and Office 365 colleagues are working on, their priorities and future initiatives, and what’s been put on the back burner.
What did the survey respondents tell us?
• Hybrid search is perceived as a nice-to-have feature, but not something organizations will be using to address their priority of improving search.
• Collaboration is this year’s must-have, while text analytics and social business applications are at the bottom of the priority list.
• Enterprise search and content lifecycle management have become high priorities, yet 91% of organizations still perform manual tagging.
• Critical business applications, such as records management, enterprise metadata management, eDiscovery, and security, are most often managed on-premises.
• Security is still the primary concern, but its importance has decreased from 59% last year to 40% this year.
Join Concept Searching and partner C/D/H for this thought-provoking webinar on what intelligent enterprise search should be.
Our solution is unique in the marketplace, and overcomes the limitations of other enterprise search engines. It was originally deployed as an enterprise search solution for engineers and support staff.
This webinar will focus on how one unified view of all unstructured, semi-structured, and structured data assets, including 2D and 3D images, can be integrated into the search interface, with previewers and navigational aids.
Both business and technical professionals will benefit from this session:
• Understand how the technology works, and how it can be set up with a platform and search engine of choice
• See how search returns results, and provides visual and navigational aids for all information retrieved
• Watch how to select an image based on color, size, or shape
• Learn how any business or artificial intelligence applications can benefit from the multi-term metadata created
• Find out why the search framework provides a responsive user interface for any tablet, PC or mobile device
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
Data Lake or Data Swamp? By now, we’ve likely all heard the comparison. Data Lake architectures have the opportunity to provide the ability to integrate vast amounts of disparate data across the organization for strategic business analytic value. But without a proper architecture and metadata management strategy in place, a Data Lake can quickly devolve into a swamp of information that is difficult to understand. This webinar will offer practical strategies to architect and manage your Data Lake in a way that optimizes its success.
This session introduces metadata and its full use in SharePoint, both on-premises and Online. It explores best practices on how meaningful metadata can save time and money, improve user experience, and determine the overall success of collaboration and document management.
Robert Piddocke – with over a decade of experience in SharePoint, passionate about information management, and the author of two books on SharePoint Search – discusses business values and considerations involved when determining how to govern information in SharePoint and SharePoint Online.
Learn how going meta helps transcend typical metadata use, and understand how to realize the potential of intelligent content in context.
SharePoint Saturday Toronto - Going Meta – How to Use Metadata in SharePoint ...Concept Searching, Inc
This session introduces metadata and its full use in SharePoint, both on-premises and Online. It explores best practices on how meaningful metadata can save time and money, improve user experience, and determine the overall success of collaboration and document management.
Robert Piddocke – with over a decade of experience in SharePoint, passionate about information management, and the author of two books on SharePoint Search – discusses business values and considerations involved when determining how to govern information in SharePoint and SharePoint Online.
Learn how going meta helps transcend typical metadata use, and understand how to realize the potential of intelligent content in context.
During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability.
The speakers brought together best practice techniques with Apache Spark to achieve complete CDI.
Speakers:
Joe Caserta, President, Caserta Concepts
Kevin Rasmussen, Big Data Engineer, Caserta Concepts
Vida Ha, Lead Solutions Engineer, Databricks
The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included:
· Building an end-to-end CDI pipeline in Apache Spark
· What works, what doesn’t, and how do we use Spark we evolve
· Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior
· Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching
· Using GraphX for matching and scalable clustering
· Analyzing large data files with Spark
· Using Spark for ETL on large datasets
· Applying Machine Learning & Data Science to large datasets
· Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally
The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for.
For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/
Microsoft is continually adding new features to Office 365, and it is sometimes easy to get lost in information. This is particularly true when you need to deploy new functionality in your own organization.
This session explores records management in Office 365 and SharePoint. What is useful, what could be improved, and what are the potential drawbacks? Understand the importance of metadata – in driving records, the synergy with classification labels in the Office 365 Security and Compliance Center, and how it is part of effective records management.
Still worried about classification errors made by your end users? See how we solved that problem years ago.
Speakers:
Michael Paye – Chief Technology Officer at Concept Searching
Robert Piddocke – Vice President of Channel and Business Development
The potential of big data is well known, but many businesses are still quite some distance from harnessing it. In this session, we will look at some approaches to deriving business value from big data, with a number of case studies.
Why an AI-Powered Data Catalog Tool is Critical to Business SuccessInformatica
Imagine a fast, more efficient business thriving on trusted data-driven decisions. An intelligent data catalog can help your organization discover, organize, and inventory all data assets across the org and democratize data with the right balance of governance and flexibility. Informatica's data catalog tools are powered by AI and can automate tedious data management tasks and offer immediate recommendations based on derived business intelligence. We offer data catalog workshops globally. Visit Informatica.com to attend one near you.
Metadata used to be an afterthought. Now, metadata is a pre-requisite and the optimal mechanism to drive business processes like security and records and, of course, to manage content.
In this session Robert Piddocke, our Vice President of Channel and Business Development – passionate about information management, and author of books on SharePoint Search – explores how going meta helps transcend typical metadata use.
Robert discusses SharePoint functionality and what needs to be put in place to deploy a metadata-driven enterprise and build a framework for the future, and how metadata can be used to automate and drive business processes, and proactively manage content.
Speaker:
Robert Piddocke – Vice President of Channel and Business Development at Concept Searching
Coexist or Integrate? Manage Unstructured Content from Diverse Repositories a...Concept Searching, Inc
Are you successfully managing your unstructured content? Have you quantified the risks and costs of not proactively managing your content? Did you know that you can dramatically improve search, eDiscovery, security, records management, migration, collaboration, text analytics, and business social applications, just by getting your unstructured content in order? Learn how to effectively clean up, optimize, and organize your file share content.
There are key solutions built on core technology platforms that will enable you to achieve these improvements. The conceptClassifier for SharePoint and conceptClassifier for Office 365 platforms automatically generate multi-term metadata that form concepts. Imagine it – eliminating end user tagging.
And the conceptClassifier for File Shares utility makes file shares discoverable, searchable, optimized, and organized. It automatically tags and classifies documents to a term set, for improving search and eDiscovery, and preparing content for migration.
Auto-classification and one natively integrated taxonomy/Term Store, available on-premises, in the cloud, or in a hybrid environment, provide the backdrop for a single enterprise search, regardless of where end users are located. Tackle information governance and standardize processes across the entire enterprise.The team from C/D/H provided the knowledge, planning, and optimization to intelligently migrate the manufacturer’s content from on-premises Search 2013 to the Office 365 Hybrid Search platform, using Concept Searching’s new utility, conceptClassifier for Hybrid Search.
The solution allows any of the 40,000 users to search 20 million documents from over 30 content sources, securely and within seconds. It leveraged the Microsoft Azure cloud platform, which reduced the required infrastructure tenfold, while improving performance and reducing complexity in the digital workplace.
Steve Mann will be joined by Steve Smith, Consultant from strategic partner C/D/H
“A survey of corporate CIOs and general counsels found that, typically, 69% of the data most organizations keep can – and should – be deleted.”
Compliance, Governance and Oversight Counsel (CGOC) Summit
So what happens to the 69%? Most likely it will get migrated with no rhyme or reason. Just because it seems easier. And the organization is still left with mismanaged, useless information. That’s only one migration scenario. Migrations can be fraught with delays, budget overruns, and overall frustration. Register for this practical and informative webinar on March 25th, sponsored by Portal Solutions and Concept Searching and learn how you can eliminate migration challenges and reach the pinnacle of success.
What you will take away:
• Learn from Portal Solutions, an industry recognized SharePoint firm, the best practices and processes to approach migration
• Understand the key challenges that need to be overcome before migration
• Obtain buy-in and build the business case on why migration adds value and does not just move content from one place to another
• Take away a clear vision of the steps involved during migration and the phases to be accomplished
• Hear about Intelligent Migration technologies using conceptClassifier for SharePoint
• See how the technology is a key component in a migration solution
• Find the ROI of using one set of technologies to facilitate the migration process, and deploy metadata enabled solutions for search, content management, data protection, records management, and any application that uses metadata.
This session introduces metadata and its full use in SharePoint, both on-premises and Online. It explores best practices on how meaningful metadata can save time and money, improve user experience, and determine the overall success of collaboration and document management.
Robert Piddocke – with over a decade of experience in SharePoint, passionate about information management, and the author of two books on SharePoint Search – discusses business values and considerations involved when determining how to govern information in SharePoint and SharePoint Online.
Learn how going meta helps transcend typical SharePoint information architecture, and understand how to realize the potential of intelligent content in context.
Speaker(s)
The Nuts and Bolts of Metadata Tagging and Taxonomies Made Easy WebinarConcept Searching, Inc
Taxonomies are often thought of as hard to use and needing specialized applications or IT skills. Not so with Concept Searching’s unique technologies.
Join Michael Paye, our CTO, to see how taxonomies, auto-classification, and multi-term metadata generation unburden the IT team, eliminate end user tagging, and empower business users.
Understand the return on investment from an effective infrastructure solution for search, security, compliance, eDiscovery, records management, knowledge management, collaboration, and migration activities.
• Learn how our solution can meet either one challenge or several, and see how it works with different applications
• Watch multi-term metadata being automatically generated
• See how easy it is to use unique taxonomy tools and interactive features, such as clue suggestion, instant feedback, and assigning weights to terms
• Discover the value of dynamic screen updating to immediately see the impact of taxonomy changes
• View how document movement feedback enables you to see the cause and effect of changes without re-indexing
Still looking at SharePoint metadata management, auto-classification and taxonomy solutions? You should be. Manual tagging and the Term Store won’t solve your problems, which are only going to get worse.
We’ve taken our industry leading conceptClassifier for SharePoint and conceptClassifier for Office 365 products and made them into add-ins.
Take your pick – SharePoint solution or add-in solution. We offer both. This webinar explains why an add-in and conceptClassifier will deliver your strategy for the future.
Both solutions are available on-premises, online, or in a hybrid environment. We have it covered.
SharePoint and Office 365 State of the Market Survey Results WebinarConcept Searching, Inc
This engaging and thought-provoking bird’s-eye view of projects your SharePoint and Office 365 colleagues are working on, their priorities and future initiatives, and what’s been put on the back burner.
What did the survey respondents tell us?
• Hybrid search is perceived as a nice-to-have feature, but not something organizations will be using to address their priority of improving search.
• Collaboration is this year’s must-have, while text analytics and social business applications are at the bottom of the priority list.
• Enterprise search and content lifecycle management have become high priorities, yet 91% of organizations still perform manual tagging.
• Critical business applications, such as records management, enterprise metadata management, eDiscovery, and security, are most often managed on-premises.
• Security is still the primary concern, but its importance has decreased from 59% last year to 40% this year.
Join Concept Searching and partner C/D/H for this thought-provoking webinar on what intelligent enterprise search should be.
Our solution is unique in the marketplace, and overcomes the limitations of other enterprise search engines. It was originally deployed as an enterprise search solution for engineers and support staff.
This webinar will focus on how one unified view of all unstructured, semi-structured, and structured data assets, including 2D and 3D images, can be integrated into the search interface, with previewers and navigational aids.
Both business and technical professionals will benefit from this session:
• Understand how the technology works, and how it can be set up with a platform and search engine of choice
• See how search returns results, and provides visual and navigational aids for all information retrieved
• Watch how to select an image based on color, size, or shape
• Learn how any business or artificial intelligence applications can benefit from the multi-term metadata created
• Find out why the search framework provides a responsive user interface for any tablet, PC or mobile device
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
Data Lake or Data Swamp? By now, we’ve likely all heard the comparison. Data Lake architectures have the opportunity to provide the ability to integrate vast amounts of disparate data across the organization for strategic business analytic value. But without a proper architecture and metadata management strategy in place, a Data Lake can quickly devolve into a swamp of information that is difficult to understand. This webinar will offer practical strategies to architect and manage your Data Lake in a way that optimizes its success.
This session introduces metadata and its full use in SharePoint, both on-premises and Online. It explores best practices on how meaningful metadata can save time and money, improve user experience, and determine the overall success of collaboration and document management.
Robert Piddocke – with over a decade of experience in SharePoint, passionate about information management, and the author of two books on SharePoint Search – discusses business values and considerations involved when determining how to govern information in SharePoint and SharePoint Online.
Learn how going meta helps transcend typical metadata use, and understand how to realize the potential of intelligent content in context.
SharePoint Saturday Toronto - Going Meta – How to Use Metadata in SharePoint ...Concept Searching, Inc
This session introduces metadata and its full use in SharePoint, both on-premises and Online. It explores best practices on how meaningful metadata can save time and money, improve user experience, and determine the overall success of collaboration and document management.
Robert Piddocke – with over a decade of experience in SharePoint, passionate about information management, and the author of two books on SharePoint Search – discusses business values and considerations involved when determining how to govern information in SharePoint and SharePoint Online.
Learn how going meta helps transcend typical metadata use, and understand how to realize the potential of intelligent content in context.
During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability.
The speakers brought together best practice techniques with Apache Spark to achieve complete CDI.
Speakers:
Joe Caserta, President, Caserta Concepts
Kevin Rasmussen, Big Data Engineer, Caserta Concepts
Vida Ha, Lead Solutions Engineer, Databricks
The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included:
· Building an end-to-end CDI pipeline in Apache Spark
· What works, what doesn’t, and how do we use Spark we evolve
· Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior
· Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching
· Using GraphX for matching and scalable clustering
· Analyzing large data files with Spark
· Using Spark for ETL on large datasets
· Applying Machine Learning & Data Science to large datasets
· Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally
The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for.
For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/
Microsoft is continually adding new features to Office 365, and it is sometimes easy to get lost in information. This is particularly true when you need to deploy new functionality in your own organization.
This session explores records management in Office 365 and SharePoint. What is useful, what could be improved, and what are the potential drawbacks? Understand the importance of metadata – in driving records, the synergy with classification labels in the Office 365 Security and Compliance Center, and how it is part of effective records management.
Still worried about classification errors made by your end users? See how we solved that problem years ago.
Speakers:
Michael Paye – Chief Technology Officer at Concept Searching
Robert Piddocke – Vice President of Channel and Business Development
The potential of big data is well known, but many businesses are still quite some distance from harnessing it. In this session, we will look at some approaches to deriving business value from big data, with a number of case studies.
Overview of how to improve records management and findability using SharePoint 2010, EMM, Term Store and Content Types and ConceptClassifier for SharePoint.
You have adopted Microsoft SharePoint in your organization and have end users requesting tools and applications in SharePoint. Is SharePoint really the solution? Now you need the ‘SharePoint Person’! That is the person who is the solution architect, information architect, infrastructure architect, administrator, developer and support analyst all rolled into one. What technical skills will that person or team need to have to be successful in building and supporting SharePoint Solutions. You will learn the types of SharePoint requests that can be received from end users based on a decade of experience in building SharePoint solutions, and link them to the skillets that are required by your SharePoint team. You will also understand the skills required to support and maintain an effective Microsoft SharePoint environment.
Harness Collective Knowledge with #ProjectCortex #msignitethetourKanwal Khipple
Join us to learn about the most significant innovations ever unveiled for knowledge management and intelligent content services in Microsoft 365. Get the latest updates on Microsoft Search and other experiences that connect you with knowledge, insights, expertise, answers and actions, within your everyday experiences across Microsoft 365
Getting started with with SharePoint SyntexDrew Madelung
SharePoint Syntex brings advanced content services solutions into your existing SharePoint environment but is it something that will help you? In this session we will go through what SharePoint Syntex is, how it works, and why it could be an important part of your enterprise in Microsoft 365.
Microsoft Syntex brings advanced content AI solutions into your existing Microsoft 365 investment but is it something that will help you?
In this session, we will go through what Microsoft Syntex is, how it works, and why it could be an important part of your enterprise in Microsoft 365.
Content services to capture and scale your expertise
SharePoint Syntex uses advanced AI and machine teaching to amplify human expertise, automate content processing, and transform content into knowledge.
Content understanding
Create AI models that capture expertise to classify and extract information and automatically apply metadata.
Capture expertise with AI
Build no-code AI models that teach the cloud to read content the way you do.
Enrich content and metadata
Find key facts in your content to improve search and teamwork.
Content processing
Automate the capture, ingestion, and categorization of content and streamline content-centric processes.
Automatically classify content
Use advanced AI in SharePoint Syntex to capture and tag structured and unstructured content.
Streamline content processes
Integrate with Power Automate to build workflows that leverage extracted metadata.
Content compliance
Connect and manage content to improve security and compliance.
Integrate content across systems
Connect SharePoint Syntex to content inside and outside Microsoft 365.
Protect and manage content
Enforce security and compliance policies with automatically applied sensitivity and retention labels.
Organizations are beginning to recognize that search is not a stand-alone technology or application, but must be integrated with business processes and corporate objectives as a key infrastructure component.
Why? Providing enriched metadata to the search engine index significantly improves search applications, eDiscovery, FOIA requests, and collaboration.
In this webinar COMPU-DATA International and Concept Searching will demonstrate their combined offering that uses unique, language independent technology and integrated enterprise metadata repository management, to deliver intelligent metadata enabled search.
What you will learn about during this session:
• How our innovative technology delivers both high precision and high recall, using industry unique compound term processing
• How to accomplish federated search as content is created or ingested
• How to enable true concept based searching
• How to eliminate end user tagging
• How to integrate the combined solution with any search engine including SharePoint, the former FAST products, Google Search Appliance, IBM Vivisimo, and Solr
• How the combined solution can be extended to address records identification, protection of privacy information, migration, and text analytics with the same technology
• Benefit from industry-specific use cases:
• Developing a powerful search solution for the US Army, creating easy access to millions of records, with an integrated solution to consolidate many data sources, accessing high volumes of data
• Solving search, migration, records management, and data privacy challenges to manage the intranet for a global company which designs, manufactures, and distributes appliances to more than 70 countries
What You Don’t Know May Hurt You – Achieving Insight and Knowledge DiscoveryConcept Searching, Inc
Think you are too busy and solutions too expensive? Take another look at how text analytics and mining can boost your bottom line, through insight and knowledge discovery. The technique is simple and the results will probably surprise you.
Stay one step ahead of the competition and find out what’s really in your content. Guest speaker Russ Stalters, information management strategist and former BP executive, explores real-life knowledge discovery scenarios, and discusses the significant return on investment achieved.
This session provides an overview of text analytics and mining, and how the appropriate solution can be used to extract and refine the dataset, by business professionals with no expertise in programming languages or databases.
The ease of use makes this concept-based searching solution ideal for organizations with analysts and knowledge workers, who need to capture live information to address issues and develop opportunities, and are not technically oriented.
Speakers:
Russ Stalters – Information Management Strategist at Clear Path Solutions
Carla Mulley – Vice President of Marketing at Concept Searching
2017 01-11 intelligent search and intranet - chihuahuas vs muffins v1Don Miller
This is a presentation for people looking to improve Enterprise Search and Intranets. It provides details around Microsoft Search, Azure Search and Elastic Search and how to take a basic search platform and transform it into what Gartner calls Insight Engines and what Forrester calls Cognitive Search and Knowledge Discovery.
Enterprise Search is still considered as a one-time IT Project in most cases, although it should rather be a Business Process, with well-defined lifecycle, metrics and analytics. Measuring and controlling success is very challenging – in most cases, it has to be a string collaboration between internal and external experts. In this session, I’m introducing several roles of this process as well as useful metrics and best practices. Attendees will get a practical plan for quality management of their Enterprise Search solution as the key takeaway.
This webinar will explain how to get the most out of conceptSearch, with its innovative technology delivering both high precision and high recall, by weighting compound terms, or multi-word phrases. This is particularly important for organizations that need sophisticated search and retrieval solutions.
• Compound term extraction
• Relevance rankings
• Automatically generated related topics
• Faceted navigation
• Drilling down through a combination of free text search and multiple taxonomy browse
84% of Migration Projects Fail – Getting it Right in SharePoint WebinarConcept Searching, Inc
Migration of unstructured content can be a laborious and time consuming project. Many documents can exist in multiple places at the same time, different revisions of the same document can exist, some documents should be deleted and others should be archived. Documents can reside on file shares, older versions of SharePoint, or other legacy content management systems.
There may be records that were never declared, as well as confidential or private information that will not be identified when migrated. The ability to mass move content is relatively straight forward. However, simply mass moving content will result in the same problem of mismanaged and unorganized content.
Learn how to avoid the typical pitfalls and get it right the first time.
In this webinar Portal Solutions and Concept Searching will address SharePoint migration issues, information architecture and best practices to ensure your migration doesn’t result in the typical project over-runs, post-upgrade production issues and unanticipated down time.
We will explore the strategies to design a taxonomy and metadata schema that will be the basis for information architecture in SharePoint, while understanding the functional planning of how users will interact with the various information elements within the SharePoint environment.
What you will learn about during this session:
• Best practices in defining a SharePoint information architecture
• Aligning the architecture with the business goals
• What is a metadata schema and why it's so important
• How to design a schema aligned to the business and its processes
• How conceptual metadata generation builds a consistent end user experience and decreases migration effort
• Differences between a proprietary taxonomy solution and a fully integrated SharePoint term store solution
• How to plan, architect and test your migration in an iterative fashion
• Maximize the return on investment from your migration budget
• Automatic migration of content driven by classification of metadata
2. Speakers NS Rana – Business Productivity Advisor, Microsoft NS is a 19 year IT Industry veteran. For the last 12 years NS has worked at Microsoft in various roles helping organizations both large and small achieve their full potential by effectively adopting and deploying Microsoft Technologies. In his current role as a Business Productivity Advisor, he defines, manages and delivers solution scenarios that include Collaboration, Enterprise Content Management, Enterprise Search, Business Intelligence powered by technologies like Microsoft Office and SharePoint. Donald T. Miller – Vice President Business Development, Concept Searching With over 20 years of experience, Don Miller is an industry veteran of search and information management solutions and is the Vice President of Business Development for Concept Searching. Val Orekhov – Chief Architect, Portal Solutions Val is the Chief Architect at Portal Solutions. Portal Solutions is a leading systems of Microsoft solutions and recently published a white paper on the next step in knowledge management which is knowledge optimization. Knowledge Optimization is positioned as the next logical evolution of Knowledge Management, and continues the company’s long tradition of thought leadership in the enterprise software industry. Concept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
20. Metadata Drives the Enterprise Concept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
21. The Enterprise Information Problem – Metadata is Everywhere Metadata Problems Concept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
22. Traditional Manual Metadata Approach Bleed 100Ks of Dollars From Your Company A manual metadata approach is unacceptable INACCURATE x INCONSISTENT = INCOMPLETE & UNACCEPTABLE Concept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
23. conceptClassifier and taxonomyManager are changing the metadata market. What are Enterprise Metadata Approaches? High Requires Domain Expertise Cumbersome and slow to build Requires Boolean Logic/Developer Concept Searching has changed the game! Productivity Gains Requires Domain Expertise Requires large training sets per node Cumbersome and slow to build Low High Low Cost Savings Concept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
30. Reduce IT infrastructure costs with metadata management for life cycle managementConcept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
31.
32.
33. Search will return results based on the concept even if the exact terms are not contained in the document (i.e. ‘coronary artery surgery’, ‘heart surgery’)
34. Can be used by any search engine index or any application/process that uses metadataTriple Baseball Three Heart Organ Center Bypass Highway Avoid Concept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
59. Provides a single search interface to end users from within SharePoint to multiple repositories (SharePoint, file stores, web sites)Taxonomy Development Management We Make Metadata Work For You MS Office Integration for Metadata Faceted & Taxonomy Navigation Plus Text Preview Full Integration with Content Types Single Classification Interface to SharePoint, File Stores, & Websites MOSS Record Center Workflow Automation Concept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
60.
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62. Content will be automatically classified to one or more nodes based on concepts within the content
63. Reduces time to develop, build, and maintain a taxonomy by as much as 80%
64. Can import industry standard taxonomiesConcept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
68. Editable from within SharePoint & the Concept Searching Taxonomy ManagerConcept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
72. Authorized users have complete control over automatically generated metadataConcept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
90. Automatically classify and place semantic metadata in search engine indexConcept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
106. Improves any business process that requires metadataWe make metadata work for you! Concept Searching • Martin Garland• +1 (703) 531-8567 • marting@conceptsearching.com
The key points on this slide are:Been in business since 2002, first customers in 2003Major Enterprises with up to 66 000 users have deployed successfully to manage unstructured dataOwned by the Founders – no external investment. Profitable with 35% growth in 2008 and already trading for similar growth in 2009.Increasing number of specialized Partners in this space buying into our value proposition.Concept Searching was founded in 2002 with the goal of developing statistical search and classification products that delivered critical functionality currently unavailable in the marketplace. The products were launched in 2003 and Concept Searching has experienced growth and profitability every year since. Concept Searching is the only statistical classification software company in the world that uses concept extraction and compound term processing to achieve the highest precision without the loss of recall. Our products are the only solutions that are fully integrated with MOSS and Microsoft Search. In side-by-side comparisons against industry leaders, Concept Searching has been able to dramatically illustrate the strength of the technology. Concept Searching counts an ever growing number of global and Fortune 500 and Fortune 1000 clients. We have built a strong partnership channel with Microsoft Partners. Continuing to invest in product development Concept Searching is defining new standards for the search and classification industry and is committed to delivering quantifiable business benefits to organizations around the world.
Traditional search assumes the end user knows what they are looking for, or must enter the ‘right’ combination of words to get the ‘right’ result.Knowledge workers need to identify content in the context of what they are seeking. The fundamental problem with search solutions is that they are based on an index of single words. Yet most queries are expressed in short patterns of words and not single words in isolation – which are highly ambiguous. In the example above, a search engine would identify all the documents that contained the words: triple, heart, bypass instead of documents that contained the concept of ‘triple heart bypass’. Since the concept has been identified, other documents that have related concepts will be identified even if they do not contain that exact phrase. The metadata generation issue is increasingly a growing concern in enterprises. Not only for search but also for records management, compliance, and enterprise content management. A comprehensive approach requires more than syntactic metadata and requiring end users to add rich metadata is haphazard and subjective at best. Since conceptClassifier for SharePoint is no longer restricted to keyword identification, compound term metadata can be automatically generated either when the content is created or ingested. The generation of metadata based on concepts extracts compound terms and keywords from a document or corpus of documents that are highly correlated to a particular concept. By identifying the most significant patterns in any text, these compound terms can then be used to generate non-subjective metadata based on an understanding of conceptual meaning. Compound term processing can address many challenges facing large enterprises and provide many benefits. Identification of concepts within a large corpus of information removes the ambiguity in search, eliminates inconsistent meta-tagging, and automatic classification and taxonomy management based on concept identification simplifies development and on-going maintenance.
“At last a tool set that enables enterprise content be the driver for business productivity”Concept Searching provides a comprehensive suite of tools for the automatic classification and taxonomy management of enterprise content. The ability to identify ‘concepts in context’ generates far richer meta data, improving the precision and relevancy in the information retrieval process. Concept Searching provides a comprehensive suite of tools for automatic semantic metadata generation, automated classification and taxonomy management of enterprise content. The metadata generation issue is increasingly a growing concern in large enterprises. A comprehensive approach requires more than syntactic metadata (i.e. date, author, title) and requiring end users to add rich metadata is haphazard and subjective at best. Since Concept Searching’s technology is no longer restricted to keyword identification, compound term metadata can be automatically generated either when the content is created or ingested. The generation of metadata based on concepts extracts compound terms and keywords from a document or corpus of documents that are highly correlated to a particular concept. By identifying the most significant patterns in any text, these compound terms can then be used to generate non-subjective metadata based on an understanding of conceptual meaning.The ability to identify ‘concepts in context’ generates far richer meta data, improving the precision and relevancy in the information retrieval process. Meta-tags are automatically added to the properties field of each document making the document more valuable to the organization by increasing the ability of the document to be retrieved using Microsoft Search Products that use keywords and metadata to retrieve information. conceptClassifier for SharePoint is fully integrated with both SharePoint, Microsoft Office, Exchange, FAST and Microsoft Enterprise Search. The automatic extraction of compound terms enables the Subject Matter Expert (SME) to use the terms within the taxonomy generation process, reducing the time to build out and maintain taxonomies by 80%. (Compound Term Processing performs matching on the basis of compound terms as opposed to keywords. Compound terms are built by combining two (or more) simple terms, for example ‘triple’ is a single word term but ‘triple heart bypass’ is a compound term. By identifying and forming compound (multi-word) terms and placing these in the search engine’s index the search can be performed with a greater degree of accuracy because the ambiguity inherent in single words is no longer a problem. A search for ‘survival rate after triple bypass surgery’ will locate documents about this topic even if the precise phrase is not contained in any of the documents. A traditional search query return would return all documents that contained the words ‘triple’, all the words that contain ‘heart’, and all the words that contain ‘bypass’.)Features: Downloadable in 30 minutes – no programming required Automatic classification and compound term meta data extraction Classification technology uses concept extraction and compound term processing Taxonomy based and faceted navigation Robust suite of tools to build an maintain taxonomiesFully integrated with Content TypesAutomatic classification from MS Office and OutlookTaxonomy browse, faceted navigation, and preview functionality from the search interfaceCan automatically classify from SharePoint, folders, and web sites providing a single interface to all permmissable content Simple intuitive interface designed for the SME Fully SOA compliant, delivered as Web Parts, based on open standards Integrates with Microsoft Office, Microsoft Records Center, and the Microsoft Business Data Catalog
A taxonomy is a classification structure that is represented by a hierarchical view of topics that have been grouped together because they share the same quality of characteristic. A taxonomy provides a unified view and access to relevant information across often disperse silos of information. Concept Searching supports multiple taxonomies within an organization. Taxonomy development is traditionally a very time consuming and costly activity. Our Taxonomy Manager has been proven to reduce taxonomy development time by 80%, generating a time savings of 6-12 months and a cost savings of $150K - $300K. Concept Searching also has a robust and frequently expanding library of off-the-shelf taxonomies covering a wide variety of domains to help jumpstart a classification project by providing off the shelf taxonomies to cover nearly any industry.The taxonomy (or multiple taxonomies) can be used by Subject Matter Experts (SME’s) to easily build taxonomies and classify document into predefined categories based on a small number of descriptors or clues. Once classified the documents can then be applied to a corporate taxonomy and made available to the organization. The taxonomy management features includes:- Ability to change the node weighting (score)- Auto clue suggestion: automatic generation of node clues from compound terms found in the document corpus eliminating training sets and complex Boolean rules- Dynamic screen updating: the user interface is fully AJAX enabled so changes to the taxonomy are immediately available for further refinementDocument movement feedback: this feature enables the SME to see the cause and effect on the taxonomy without re-indexing.The metadata generation issue is increasingly a growing concern in large enterprises. A comprehensive approach requires more than syntactic metadata (i.e. date, author, title) and requiring end users to add rich metadata is haphazard and subjective at best. Since Concept Searching’s technology is no longer restricted to keyword identification, compound term metadata can be automatically generated either when the content is created or ingested. The generation of metadata based on concepts extracts compound terms and keywords from a document or corpus of documents that are highly correlated to a particular concept. By identifying the most significant patterns in any text, these compound terms can then be used to generate non-subjective metadata based on an understanding of conceptual meaning. Compound term processing is a new approach to an old problem. Instead of identifying single keywords, compound term processing identifies multi-word terms that form a complex entity and identifies them as a concept. By deriving these compound terms from the clients own document corpus we can tag content with meaningful semantic metadata and enable Microsoft’s Enterprise search to filter across that metadata at retrieval thus deliver a higher degree of accuracy because the ambiguity inherent in searching against single words in isolation is no longer a problem. As a result, a search for “survival rates following a triple heart bypass” will locate documents about this topic even if this precise phrase is not contained in any document. Compound term processing can address many challenges facing large enterprises and provide many benefits. Identification of concepts within a large corpus of information removes the ambiguity in search, eliminates inconsistent meta-tagging, and automatic classification and taxonomy management based on concept identification simplifies development and on-going maintenance. The unique compound term processing enables the identification of compound terms (not keywords) from highly relevant content that can be used to trigger the automatic meta-tagging and the auto-classification processes. This conceptual metadata is added to the original metadata for the category/folder. More semantic metadata that can be linked to a document or record results in information that becomes more useful to the organization. Meta-tags are automatically added to the properties field of each document making the document more valuable to the organization by increasing the ability of the document to be retrieved using Microsoft Search Products that use keywords and metadata to retrieve information.
Following the automatic generation (tagging) of compound terms and semantic metadata the documents in the document libraries are then automatically classified to multiple categories within the taxonomy. The terms generated can be edited from within SharePoint or from within the Taxonomy Manager tool. The content will remain and can be accessed from the original location but can be linked to multiple categories/nodes.
Enterprises are increasingly understanding the value and critical need to utilize Content Types to structure their content and identify the type of document regardless of its physical site or library storage location. Content Types can be used to enforce metadata governance, adhere to policies and drive workflows in line with business processes. Included in the new release is the ability to assign taxonomies to specific Content Types. Documents that correspond to the selected Content Types will be classified and documents that do not correspond to a content type or do not include some metadata elements that a specific content type has specified will not be classified. This essential functionality allows different taxonomies to be assigned to different Content Types for example, assign the HR taxonomy to all Content Types of type “HR”, including any Content Types derived from “HR” and assign the Finance taxonomy to all Content Types of type “Finance”, including any Content Types derived from “Finance”. The configuration can be performed using a wizard that runs inside SharePoint. The taxonomies will be available for these documents regardless of their location. conceptClassifier’s site columns and Event Handlers are associated to the Content Types. This delivers the ability to automatically add classification functionality to new sites when created.
conceptClassifier for SharePoint fully supports Content Types. An add-on features includes the ability to update Content Types based on the identification of content during the classification process. This is particularly useful in records management and data privacy and security. This provides the ability to develop a series of actions that can occur when content contains specific metadata as defined by the organization.
conceptClassifier for SharePoint integration with Microsoft Office and Microsoft Exchange the automatic metadata generation and classification without end user participation. Alternatively, the Subject Matter Expert (SME) or Knowledge Worker can be granted the authority to modify the results from within the traditional Microsoft Office interface. The knowledge worker is the most qualified person to anticipate how the asset will be searched for and how to make it easy to find. The automatic classification returns not only single words but identifies concepts within the document to assist the knowledge worker in the classification process. This guided approach enables the knowledge worker to precisely and accurately classify the document for reuse and retrieval. Placing the ability to classify documents into the hands of knowledge workers results in rich and comprehensive metadata, significantly improving the organization’s ability to leverage their information capital. · Gives business experts the ability to classify critical business · information with highly relevant metadata· Greatly improves the search and retrieval process by ensuring accurate and complete metadata· Expedites organizational access to real-time information· Provides a consistent content management approach· Delivers metadata rich information retrieval thereby maximizing productivity and organizational agility
Knowledge workers need to identify content in the context of what they are seeking. The fundamental problem with most enterprise search solutions, and all statistical search solutions, is that they are based on an index of single words. Yet most queries are expressed in short patterns of words and not single words in isolation which are highly ambiguous. A concept search engine can isolate the key meaning that is normally expressed as proper nouns, nouns phrases and verb phrases. Although linguistic products can do this, their performance is highly variable depending upon the vocabulary and language in use. A statistical based language independent concept search can accept queries in natural language with the user typing words, phrases or whole sentences. The system then analyzes the natural language query to extract the keywords and phrases to identify the main concepts and retrieve content that is highly relevant. Precision and recall are the two key performance measures for information retrieval. Precision is the retrieval of only those items that are relevant to the query. Recall is the retrieval of all items that are relevant to the query. Yet most information retrieval technologies are less than 22% accurate for both precision and recall. The ideal goal is to have them balanced. Compound Term Processing has the ability to increase precision with no loss of recall. Documents that have been auto-classified are now accessible by searching for all the content within a folder and by using Microsoft Enterprise Search which can now filter on highly relevant metadata that has been created with Taxonomy Manager. Search results are clustered into categories or facets enabling an end user to rapidly drill into a result set based on organizational, functional, product line, and geographic metadata that have been generated using Taxonomy Manager and automatically tagged to relevant documents and records within document libraries. Based on the end user search refinement new facets will be generated when the query changes.
Knowledge workers need to identify content in the context of what they are seeking. The fundamental problem with most enterprise search solutions, and all statistical search solutions, is that they are based on an index of single words. Yet most queries are expressed in short patterns of words and not single words in isolation which are highly ambiguous. A concept search engine can isolate the key meaning that is normally expressed as proper nouns, nouns phrases and verb phrases. Although linguistic products can do this, their performance is highly variable depending upon the vocabulary and language in use. A statistical based language independent concept search can accept queries in natural language with the user typing words, phrases or whole sentences. The system then analyzes the natural language query to extract the keywords and phrases to identify the main concepts and retrieve content that is highly relevant. Precision and recall are the two key performance measures for information retrieval. Precision is the retrieval of only those items that are relevant to the query. Recall is the retrieval of all items that are relevant to the query. Yet most information retrieval technologies are less than 22% accurate for both precision and recall. The ideal goal is to have them balanced. Compound Term Processing has the ability to increase precision with no loss of recall. Documents that have been auto-classified are now accessible by searching for all the content within a folder and by using Microsoft Enterprise Search which can now filter on highly relevant metadata that has been created with Taxonomy Manager. Search results are clustered into categories or facets enabling an end user to rapidly drill into a result set based on organizational, functional, product line, and geographic metadata that have been generated using Taxonomy Manager and automatically tagged to relevant documents and records within document libraries. Based on the end user search refinement new facets will be generated when the query changes.
Knowledge workers need to identify content in the context of what they are seeking. The fundamental problem with most enterprise search solutions, and all statistical search solutions, is that they are based on an index of single words. Yet most queries are expressed in short patterns of words and not single words in isolation which are highly ambiguous. A concept search engine can isolate the key meaning that is normally expressed as proper nouns, nouns phrases and verb phrases. Although linguistic products can do this, their performance is highly variable depending upon the vocabulary and language in use. A statistical based language independent concept search can accept queries in natural language with the user typing words, phrases or whole sentences. The system then analyzes the natural language query to extract the keywords and phrases to identify the main concepts and retrieve content that is highly relevant. Precision and recall are the two key performance measures for information retrieval. Precision is the retrieval of only those items that are relevant to the query. Recall is the retrieval of all items that are relevant to the query. Yet most information retrieval technologies are less than 22% accurate for both precision and recall. The ideal goal is to have them balanced. Compound Term Processing has the ability to increase precision with no loss of recall. Documents that have been auto-classified are now accessible by searching for all the content within a folder and by using Microsoft Enterprise Search which can now filter on highly relevant metadata that has been created with Taxonomy Manager. Search results are clustered into categories or facets enabling an end user to rapidly drill into a result set based on organizational, functional, product line, and geographic metadata that have been generated using Taxonomy Manager and automatically tagged to relevant documents and records within document libraries. Based on the end user search refinement new facets will be generated when the query changes.
Knowledge workers need to identify content in the context of what they are seeking. The fundamental problem with most enterprise search solutions, and all statistical search solutions, is that they are based on an index of single words. Yet most queries are expressed in short patterns of words and not single words in isolation which are highly ambiguous. A concept search engine can isolate the key meaning that is normally expressed as proper nouns, nouns phrases and verb phrases. Although linguistic products can do this, their performance is highly variable depending upon the vocabulary and language in use. A statistical based language independent concept search can accept queries in natural language with the user typing words, phrases or whole sentences. The system then analyzes the natural language query to extract the keywords and phrases to identify the main concepts and retrieve content that is highly relevant. Precision and recall are the two key performance measures for information retrieval. Precision is the retrieval of only those items that are relevant to the query. Recall is the retrieval of all items that are relevant to the query. Yet most information retrieval technologies are less than 22% accurate for both precision and recall. The ideal goal is to have them balanced. Compound Term Processing has the ability to increase precision with no loss of recall. Documents that have been auto-classified are now accessible by searching for all the content within a folder and by using Microsoft Enterprise Search which can now filter on highly relevant metadata that has been created with Taxonomy Manager. Search results are clustered into categories or facets enabling an end user to rapidly drill into a result set based on organizational, functional, product line, and geographic metadata that have been generated using Taxonomy Manager and automatically tagged to relevant documents and records within document libraries. Based on the end user search refinement new facets will be generated when the query changes.
“At last a tool set that enables enterprise content be the driver for business productivity”Concept Searching provides a comprehensive suite of tools for the automatic classification and taxonomy management of enterprise content. The ability to identify ‘concepts in context’ generates far richer meta data, improving the precision and relevancy in the information retrieval process. Concept Searching provides a comprehensive suite of tools for automatic semantic metadata generation, automated classification and taxonomy management of enterprise content. The metadata generation issue is increasingly a growing concern in large enterprises. A comprehensive approach requires more than syntactic metadata (i.e. date, author, title) and requiring end users to add rich metadata is haphazard and subjective at best. Since Concept Searching’s technology is no longer restricted to keyword identification, compound term metadata can be automatically generated either when the content is created or ingested. The generation of metadata based on concepts extracts compound terms and keywords from a document or corpus of documents that are highly correlated to a particular concept. By identifying the most significant patterns in any text, these compound terms can then be used to generate non-subjective metadata based on an understanding of conceptual meaning.The ability to identify ‘concepts in context’ generates far richer meta data, improving the precision and relevancy in the information retrieval process. Meta-tags are automatically added to the properties field of each document making the document more valuable to the organization by increasing the ability of the document to be retrieved using Microsoft Search Products that use keywords and metadata to retrieve information. conceptClassifier for SharePoint is fully integrated with both SharePoint, Microsoft Office, Exchange, FAST and Microsoft Enterprise Search. The automatic extraction of compound terms enables the Subject Matter Expert (SME) to use the terms within the taxonomy generation process, reducing the time to build out and maintain taxonomies by 80%. (Compound Term Processing performs matching on the basis of compound terms as opposed to keywords. Compound terms are built by combining two (or more) simple terms, for example ‘triple’ is a single word term but ‘triple heart bypass’ is a compound term. By identifying and forming compound (multi-word) terms and placing these in the search engine’s index the search can be performed with a greater degree of accuracy because the ambiguity inherent in single words is no longer a problem. A search for ‘survival rate after triple bypass surgery’ will locate documents about this topic even if the precise phrase is not contained in any of the documents. A traditional search query return would return all documents that contained the words ‘triple’, all the words that contain ‘heart’, and all the words that contain ‘bypass’.)Features: Downloadable in 30 minutes – no programming required Automatic classification and compound term meta data extraction Classification technology uses concept extraction and compound term processing Taxonomy based and faceted navigation Robust suite of tools to build an maintain taxonomiesFully integrated with Content TypesAutomatic classification from MS Office and OutlookTaxonomy browse, faceted navigation, and preview functionality from the search interfaceCan automatically classify from SharePoint, folders, and web sites providing a single interface to all permmissable content Simple intuitive interface designed for the SME Fully SOA compliant, delivered as Web Parts, based on open standards Integrates with Microsoft Office, Microsoft Records Center, and the Microsoft Business Data Catalog