This document discusses taxonomy and metadata. It defines taxonomy as a classification scheme designed to group related things together, which can be informal or highly formalized. Taxonomies are semantic and provide a fixed vocabulary to label content meaningfully. Taxonomies act as knowledge maps and artificial memory devices by structuring concepts. The document also defines metadata as "data about data" such as author, title, and other information about a document. Metadata is used to identify, manage, retrieve, and connect content, as well as support business processes and records management. Standards like Dublin Core are discussed, as well as challenges around enforcing metadata use and acquiring metadata from users.
Organizing Knowledge: A Knowledge Manager’s Primer to Taxonomy DevelopmentArt Schlussel
Organizing Knowledge - A Knowledge Manager’s Primer to Taxonomy Development
Attribution: Thanks to Patrick Lambe, author, Organising Knowledge: Taxonomies,
Knowledge and Organizational Effectiveness, Chandos Publishing 2007 for much of the content in this presentation.
An overview of the benefits of using both taxonomies and metadata to make your information easier to search. Presentation by Alice Redmond-Neal of Access Innovations, Inc.
This presentation delivers a detailed understanding of taxonomy definitions, taxonomy value (ROI), and taxonomy design methodologies and approaches. It was originally delivered by Zach Wahl and Tatiana Cakici of Enterprise Knowledge at Taxonomy Boot Camp 2019 in Washington, DC.
Presentation given on March 12, 2013 by Marjorie M.K. Hlava of Access Innovations, Inc. as a webinar for the San Francisco chapter of the Special Libraries Association.
Organizing Knowledge: A Knowledge Manager’s Primer to Taxonomy DevelopmentArt Schlussel
Organizing Knowledge - A Knowledge Manager’s Primer to Taxonomy Development
Attribution: Thanks to Patrick Lambe, author, Organising Knowledge: Taxonomies,
Knowledge and Organizational Effectiveness, Chandos Publishing 2007 for much of the content in this presentation.
An overview of the benefits of using both taxonomies and metadata to make your information easier to search. Presentation by Alice Redmond-Neal of Access Innovations, Inc.
This presentation delivers a detailed understanding of taxonomy definitions, taxonomy value (ROI), and taxonomy design methodologies and approaches. It was originally delivered by Zach Wahl and Tatiana Cakici of Enterprise Knowledge at Taxonomy Boot Camp 2019 in Washington, DC.
Presentation given on March 12, 2013 by Marjorie M.K. Hlava of Access Innovations, Inc. as a webinar for the San Francisco chapter of the Special Libraries Association.
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
Enterprise Knowledge - Taxonomy Design Best Practices and MethodologyEnterprise Knowledge
This presentation, origninally presented at the Knowledge Management Institute's KM Symposium on March 27, 2014, addresses the concepts of business taxonomy value, taxonomy design methodology, and taxonomy design best practices. It is intended as an introductory deck for anyone seeking guidance on taxonomy design efforts.
Presentation given at the National Federation of Advanced Information Services (NFAIS) conference: "Improving the User Search Experience" October 2010, in Philadelphia, PA
An introduction to SKOS (Simple Knowledge Organization System), a W3C recommendation/standard for interoperability of controlled vocabularies. Presented at Taxonomy Boot Camp London 2018
DAS Slides: Metadata Management From Technical Architecture & Business Techni...DATAVERSITY
Metadata provides context for the “who, what, when, where, and why” of data, and is of critical interest in today’s data-driven business environment. Since metadata is created and used by both business and IT, architectural and organizational techniques need to encompass a holistic approach across the organization to address all audiences. This webinar provides practical ways to manage metadata in your organization using both technical architecture and business techniques.
a brief overview and introduction to metadata from how it is used on the web (including seo and tagging) to its use in Flickr and library catalogs by robin fay, georgiawebgurl@gmail.com.
Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.
Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:
- why it matters,
- what it means,
- what gets in the way,
- who needs it (and how much they need),
- what companies believe it will accomplish.
In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.
Basics of BI and Data Management (Summary).pdfamorshed
Basics of Business Intelligence and Data Management
BI Architecture
How BI works?
DMBOK framework
what is Data literacy
Data quality
Data Governance
what is self-service or modern BI
Power BI Architecture
How Power BI Works
BI Implementation steps
Data Catalog for Better Data Discovery and GovernanceDenodo
Watch full webinar here: https://buff.ly/2Vq9FR0
Data catalogs are en vogue answering critical data governance questions like “Where all does my data reside?” “What other entities are associated with my data?” “What are the definitions of the data fields?” and “Who accesses the data?” Data catalogs maintain the necessary business metadata to answer these questions and many more. But that’s not enough. For it to be useful, data catalogs need to deliver these answers to the business users right within the applications they use.
In this session, you will learn:
*How data catalogs enable enterprise-wide data governance regimes
*What key capability requirements should you expect in data catalogs
*How data virtualization combines dynamic data catalogs with delivery
In their webinar "Big Data Fabric 2.0 Drives Data Democratization" Ben Szekley, Cambridge Semantics’ SVP of Field Operations, and guest speaker, Forrester’s Noel Yuhanna, author of the Forrester report: “Big Data Fabric 2.0 Drives Data Democratization”, explored why data-driven businesses are making a big data fabric part of their data strategy to minimize data complexity, integrate siloed data, deliver real-time trusted insights, and to create new business opportunities. These are the slides from that webinar.
In EK CEO Zach Wahl's presentation from KMWorld Connect 2020, he discusses the importance of putting KM in terms of business value and ROI. The presentation details EK's Proprietary KM Maturity Benchmark, a process to understand your organization's current, and target state, and specific metrics regarding KM ROI and Business Value.
Ontology has its roots as a field of philosophical study that is focused on the nature of existence. However, today's ontology (aka knowledge graph) can incorporate computable descriptions that can bring insight in a wide set of compelling applications including more precise knowledge capture, semantic data integration, sophisticated query answering, and powerful association mining - thereby delivering key value for health care and the life sciences. In this webinar, I will introduce the idea of computable ontologies and describe how they can be used with automated reasoners to perform classification, to reveal inconsistencies, and to precisely answer questions. Participants will learn about the tools of the trade to design, find, and reuse ontologies. Finally, I will discuss applications of ontologies in the fields of diagnosis and drug discovery.
Bio:
Dr. Michel Dumontier is an Associate Professor of Medicine (Biomedical Informatics) at Stanford University. His research focuses on the development of methods to integrate, mine, and make sense of large, complex, and heterogeneous biological and biomedical data. His current research interests include (1) using genetic, proteomic, and phenotypic data to find new uses for existing drugs, (2) elucidating the mechanism of single and multi-drug side effects, and (3) finding and optimizing combination drug therapies. Dr. Dumontier is the Stanford University Advisory Committee Representative for the World Wide Web Consortium, the co-Chair for the W3C Semantic Web for Health Care and the Life Sciences Interest Group, scientific advisor for the EBI-EMBL Chemistry Services Division, and the Scientific Director for Bio2RDF, an open source project to create Linked Data for the Life Sciences. He is also the founder and Editor-in-Chief for a Data Science, a new IOS Press journal featuring open access, open review, and semantic publishing.
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Denodo
Watch Alberto's session from Fast Data Strategy on-demand here: https://buff.ly/2wByS41
Gartner’s recently published report “Data Catalogs Are the New Black in Data Management Analytics” emphasizes the importance of data catalogs.
Watch this session to learn more about:
• The vision behind the Denodo Data Catalog
• How to maximize information value with the Denodo Data Catalog
• Why it is essential to combine data delivery with a data catalog
Chapter 9Enterprise Content and Record ManagementSt. RitJinElias52
Chapter 9
Enterprise Content and Record Management
St. Rita’s EIM Team Questions
What is the nature of content, document, and record management?
What are the functions and technologies for content management?
Are there overlaps between content and metadata management?
What implementation and DG issues exist with content management?
Content and record management concepts
Content and Record Management Terminology
Record
Information created, received, and maintained as evidence and information by an organization or person, in pursuance of legal obligations or in the transaction of business
As a business record, records must not be changed and must be maintained by the organization in an unalterable form
Content and Record Management Terminology
Record characteristics
Content: the data or information within the record that composes its intellectual substance
Structure: the format of the record and its relationship to the record’s content
Context: the circumstances about the record’s creation, receipt, and use (for example, how it was created, when it was created, and by whom it was created), and links to other records
Identifying What Documentation Constitutes a Record
Was it made, sent, or received in the course of business?
Does it document a decision?
Does it document advice given?
Does it document a process of arriving at a decision?
Is it required by legislation?
Content and Record Management Terminology
Document
Recorded information or object which can be treated as a unit
Not considered to be associated with the criteria for a business transaction or a legal requirement
Can be updated and do not have to be maintained by the organization for legal compliance
Can become records if they are used in a business transaction or created to document a transaction
Content and Record Management Terminology
Content
The intellectual substance of a record or document
Consists of the data or information, including text, video, sound, and images contained in documents and records, that fulfill the intended purpose of the documents or records
Includes structured and unstructured data
Document, record and content management
Electronic Systems for Document and Record Management
Continuum of systems from simpler with less functionality to complex with greater functionality
Electronic document management system (EDMS)
Electronic record management system (ERMS)
Electronic content Management (ECM)
Electronic Systems for Document and Record Management Continuum
Electronic Document and Record Management Methodology
Content management tools
Electronic Content Management (ECM)
Organizing, categorizing, and structuring data or resources so that they can be stored, published, and reused in multiple ways
Associated with the management of unstructured data
Includes text, image, video, and audio documents and records
Evolutionary successor to EDMS and ERMS
Drivers include increased accessibility to content for business operations ...
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
Enterprise Knowledge - Taxonomy Design Best Practices and MethodologyEnterprise Knowledge
This presentation, origninally presented at the Knowledge Management Institute's KM Symposium on March 27, 2014, addresses the concepts of business taxonomy value, taxonomy design methodology, and taxonomy design best practices. It is intended as an introductory deck for anyone seeking guidance on taxonomy design efforts.
Presentation given at the National Federation of Advanced Information Services (NFAIS) conference: "Improving the User Search Experience" October 2010, in Philadelphia, PA
An introduction to SKOS (Simple Knowledge Organization System), a W3C recommendation/standard for interoperability of controlled vocabularies. Presented at Taxonomy Boot Camp London 2018
DAS Slides: Metadata Management From Technical Architecture & Business Techni...DATAVERSITY
Metadata provides context for the “who, what, when, where, and why” of data, and is of critical interest in today’s data-driven business environment. Since metadata is created and used by both business and IT, architectural and organizational techniques need to encompass a holistic approach across the organization to address all audiences. This webinar provides practical ways to manage metadata in your organization using both technical architecture and business techniques.
a brief overview and introduction to metadata from how it is used on the web (including seo and tagging) to its use in Flickr and library catalogs by robin fay, georgiawebgurl@gmail.com.
Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.
Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:
- why it matters,
- what it means,
- what gets in the way,
- who needs it (and how much they need),
- what companies believe it will accomplish.
In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.
Basics of BI and Data Management (Summary).pdfamorshed
Basics of Business Intelligence and Data Management
BI Architecture
How BI works?
DMBOK framework
what is Data literacy
Data quality
Data Governance
what is self-service or modern BI
Power BI Architecture
How Power BI Works
BI Implementation steps
Data Catalog for Better Data Discovery and GovernanceDenodo
Watch full webinar here: https://buff.ly/2Vq9FR0
Data catalogs are en vogue answering critical data governance questions like “Where all does my data reside?” “What other entities are associated with my data?” “What are the definitions of the data fields?” and “Who accesses the data?” Data catalogs maintain the necessary business metadata to answer these questions and many more. But that’s not enough. For it to be useful, data catalogs need to deliver these answers to the business users right within the applications they use.
In this session, you will learn:
*How data catalogs enable enterprise-wide data governance regimes
*What key capability requirements should you expect in data catalogs
*How data virtualization combines dynamic data catalogs with delivery
In their webinar "Big Data Fabric 2.0 Drives Data Democratization" Ben Szekley, Cambridge Semantics’ SVP of Field Operations, and guest speaker, Forrester’s Noel Yuhanna, author of the Forrester report: “Big Data Fabric 2.0 Drives Data Democratization”, explored why data-driven businesses are making a big data fabric part of their data strategy to minimize data complexity, integrate siloed data, deliver real-time trusted insights, and to create new business opportunities. These are the slides from that webinar.
In EK CEO Zach Wahl's presentation from KMWorld Connect 2020, he discusses the importance of putting KM in terms of business value and ROI. The presentation details EK's Proprietary KM Maturity Benchmark, a process to understand your organization's current, and target state, and specific metrics regarding KM ROI and Business Value.
Ontology has its roots as a field of philosophical study that is focused on the nature of existence. However, today's ontology (aka knowledge graph) can incorporate computable descriptions that can bring insight in a wide set of compelling applications including more precise knowledge capture, semantic data integration, sophisticated query answering, and powerful association mining - thereby delivering key value for health care and the life sciences. In this webinar, I will introduce the idea of computable ontologies and describe how they can be used with automated reasoners to perform classification, to reveal inconsistencies, and to precisely answer questions. Participants will learn about the tools of the trade to design, find, and reuse ontologies. Finally, I will discuss applications of ontologies in the fields of diagnosis and drug discovery.
Bio:
Dr. Michel Dumontier is an Associate Professor of Medicine (Biomedical Informatics) at Stanford University. His research focuses on the development of methods to integrate, mine, and make sense of large, complex, and heterogeneous biological and biomedical data. His current research interests include (1) using genetic, proteomic, and phenotypic data to find new uses for existing drugs, (2) elucidating the mechanism of single and multi-drug side effects, and (3) finding and optimizing combination drug therapies. Dr. Dumontier is the Stanford University Advisory Committee Representative for the World Wide Web Consortium, the co-Chair for the W3C Semantic Web for Health Care and the Life Sciences Interest Group, scientific advisor for the EBI-EMBL Chemistry Services Division, and the Scientific Director for Bio2RDF, an open source project to create Linked Data for the Life Sciences. He is also the founder and Editor-in-Chief for a Data Science, a new IOS Press journal featuring open access, open review, and semantic publishing.
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Denodo
Watch Alberto's session from Fast Data Strategy on-demand here: https://buff.ly/2wByS41
Gartner’s recently published report “Data Catalogs Are the New Black in Data Management Analytics” emphasizes the importance of data catalogs.
Watch this session to learn more about:
• The vision behind the Denodo Data Catalog
• How to maximize information value with the Denodo Data Catalog
• Why it is essential to combine data delivery with a data catalog
Chapter 9Enterprise Content and Record ManagementSt. RitJinElias52
Chapter 9
Enterprise Content and Record Management
St. Rita’s EIM Team Questions
What is the nature of content, document, and record management?
What are the functions and technologies for content management?
Are there overlaps between content and metadata management?
What implementation and DG issues exist with content management?
Content and record management concepts
Content and Record Management Terminology
Record
Information created, received, and maintained as evidence and information by an organization or person, in pursuance of legal obligations or in the transaction of business
As a business record, records must not be changed and must be maintained by the organization in an unalterable form
Content and Record Management Terminology
Record characteristics
Content: the data or information within the record that composes its intellectual substance
Structure: the format of the record and its relationship to the record’s content
Context: the circumstances about the record’s creation, receipt, and use (for example, how it was created, when it was created, and by whom it was created), and links to other records
Identifying What Documentation Constitutes a Record
Was it made, sent, or received in the course of business?
Does it document a decision?
Does it document advice given?
Does it document a process of arriving at a decision?
Is it required by legislation?
Content and Record Management Terminology
Document
Recorded information or object which can be treated as a unit
Not considered to be associated with the criteria for a business transaction or a legal requirement
Can be updated and do not have to be maintained by the organization for legal compliance
Can become records if they are used in a business transaction or created to document a transaction
Content and Record Management Terminology
Content
The intellectual substance of a record or document
Consists of the data or information, including text, video, sound, and images contained in documents and records, that fulfill the intended purpose of the documents or records
Includes structured and unstructured data
Document, record and content management
Electronic Systems for Document and Record Management
Continuum of systems from simpler with less functionality to complex with greater functionality
Electronic document management system (EDMS)
Electronic record management system (ERMS)
Electronic content Management (ECM)
Electronic Systems for Document and Record Management Continuum
Electronic Document and Record Management Methodology
Content management tools
Electronic Content Management (ECM)
Organizing, categorizing, and structuring data or resources so that they can be stored, published, and reused in multiple ways
Associated with the management of unstructured data
Includes text, image, video, and audio documents and records
Evolutionary successor to EDMS and ERMS
Drivers include increased accessibility to content for business operations ...
FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources. It aims to show how the flat keywords space of user-generated tags can be effectively mixed with a richer faceted classification scheme to improve the system information architecture.
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024.
Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights.
Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer.
Learn about:
- The essence and purpose of taxonomies and ontologies in information and knowledge management;
- Advantages of semantic layers leveraging organizational taxonomies; and
- Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies
Presentation to the Information & Knowledge Management Society in Singapore, March 2008, on approaches to integrating controlled and uncontrolled vocabularies.
FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...Andrea Resmini
FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources.
It aims to show how the widespread homogeneous and flat keywords' space created by users while tagging can be effectively mixed with a richer faceted classification scheme to improve the �information scent� and �berrypicking� capabilities of the system. The additional semantic structure is aggregated both implicitly observing user behaviour and explicitly introducing a compelling user experience that facilitates the end-user creation of relationships between tags.
FaceTag current implementation is written in PHP / SQL and includes an open API which allows querying and integration from other applications.
Semantic search helps business people find answers to pressing questions by wading through oceans of information to find nuggets of meaningful information. In this presentation we’ll discuss how semantic search and content analysis technologies are starting to appear in the marketplace today. We’ll provide a recap of what semantic search is and what the key benefits are, then we’ll answer the following questions:
• Is semantic search a feature, an application, or enterprise system?
• How can I add semantic search to my existing work processes?
• Will I need to replace my existing content technologies?
• What will I need to do to prepare my content for semantic search?
• Is semantic search just for documents or can I search my data too?
• Can I use semantic search to find information on the internet and other public data sources?
• Are there standards to consider?
Taxonomy is a useful way to categorize your content so you can find it, re-use it, and help users browse and search through your content. It also helps with search engine optimization.
The whitepaper addresses the challenges in the data–driven organizations, medical research and health care. It summarizes how the context-enabled and semantic enrichment can transform the traditional method to search optimum data. 3RDi has advanced content enrichment with Named Entity Recognition, Semantic similarity, Content classification and Content summarization. Get the right data at the right time that helps medical researchers and health care practitioners.
This is a high-level summary of three important ways to help people find information. The slides were presented at Vera Rhoades' information architecture class at the University of Maryland.
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented "An Overview of Taxonomies and AI" on January 30th, 2024, in the inaugural webinar of the Artificial Intelligence webinar series: The promise and the perils,” hosted by the Knowledge & Information Management Group of CILIP, the library and information association of the UK. In her presentation, Heather explained, with examples, how both generative AI and other AI technologies support taxonomy development and use and how taxonomies can support AI applications.
Explore the presentation to learn:
Why both top-down and bottom-up methods are needed in taxonomy creation
What AI methods are used for auto-tagging and auto-classification with taxonomies
How AI methods can extract candidate terms for taxonomy creation
How generative AI can be used for certain bottom-up taxonomy development tasks
How AI can be used to analyze a taxonomy against a corpus of documents
How generative AI can be used in queries to analyze a taxonomy
What AI applications taxonomies can support
AMCTO presentation on moving from records managment to information managementChristopher Wynder
This presentation was given to AMCTO zones 1 and 4/5. It presents how to use the records classification as the core for a faceted classification schema that can be used to enable workflow and processes across the organization.
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
What are the main advantages of using HR recruiter services.pdfHumanResourceDimensi1
HR recruiter services offer top talents to companies according to their specific needs. They handle all recruitment tasks from job posting to onboarding and help companies concentrate on their business growth. With their expertise and years of experience, they streamline the hiring process and save time and resources for the company.
Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
Buy Verified PayPal Account | Buy Google 5 Star Reviewsusawebmarket
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India Orthopedic Devices Market: Unlocking Growth Secrets, Trends and Develop...Kumar Satyam
According to TechSci Research report, “India Orthopedic Devices Market -Industry Size, Share, Trends, Competition Forecast & Opportunities, 2030”, the India Orthopedic Devices Market stood at USD 1,280.54 Million in 2024 and is anticipated to grow with a CAGR of 7.84% in the forecast period, 2026-2030F. The India Orthopedic Devices Market is being driven by several factors. The most prominent ones include an increase in the elderly population, who are more prone to orthopedic conditions such as osteoporosis and arthritis. Moreover, the rise in sports injuries and road accidents are also contributing to the demand for orthopedic devices. Advances in technology and the introduction of innovative implants and prosthetics have further propelled the market growth. Additionally, government initiatives aimed at improving healthcare infrastructure and the increasing prevalence of lifestyle diseases have led to an upward trend in orthopedic surgeries, thereby fueling the market demand for these devices.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
Remote sensing and monitoring are changing the mining industry for the better. These are providing innovative solutions to long-standing challenges. Those related to exploration, extraction, and overall environmental management by mining technology companies Odisha. These technologies make use of satellite imaging, aerial photography and sensors to collect data that might be inaccessible or from hazardous locations. With the use of this technology, mining operations are becoming increasingly efficient. Let us gain more insight into the key aspects associated with remote sensing and monitoring when it comes to mining.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
3. A taxonomy is A classification scheme Semantic A knowledge map Taxonomies provide the lenses by which we perceive and talk about the world we live in [Classification] is almost the methodical equivalent of electricity- we use it every day, yet often consider it to be rather mysterious. Taxonomy
4. A taxonomy is a form of classification scheme Designed to group related things together (related not similar) Oranges and apples are in the fruit section Can be informal and ad hoc organize music CDs by genre Can be highly formal and standardized Dewey Decimal System Taxonomy
5. Taxonomies are semantic Taxonomies in knowledge management are different from formal published classification schemes Formal schemes rely heavily on codes Knowledge management taxonomies provide a fixed vocabulary This vocabulary needs to be meaningful and transparent to ordinary users When content is labeled “Project Kickoff” everybody should know what kind of documents they can expect to find in that category Taxonomy
6. Taxonomies are semantic They express the relationship between terms In the folder structure PROJECT DOCUMENTSROJECT KICKOFF we immediately recognize that we will find other types of project documents adjacent to the PROJECT KICKOFF folder and we expect that they will be linked to the sequence of stages in the project PROJECT DOCUMENTSROJECT KICKOFF PROJECT DOCUMENTSROJECT REQUIREMENTS PROJECT DOCUMENTSROJECT ARCHITECTURE If you take all the labels in a taxonomy and put them in alphabetical order, you have a controlled vocabulary – a dictionary Taxonomy
7. A taxonomy is a knowledge map “coup d’oueil” – “cast of the eye” A good taxonomy should enable the user to immediately grasp the overall structure of the knowledge domain The user should be able to accurately anticipate what resources he or she might find where The taxonomy should be comprehensible, predictable and easy to navigate Taxonomy
8. A taxonomy also acts as a artificial memory device Concepts are located in taxonomy structures and locked in place by association with their neighbors through their classification relationships This affords considerable mnemonic power Taxonomy
9. Various representations of taxonomies Lists Trees Hierarchies Polyhierarchies Matrices Facets System maps Taxonomy
10. Taxonomy work Taxonomies are products of work Developing a taxonomy is a project Knowledge management taxonomies need to reflect the working worlds of the organizations they are created for Because those working worlds continue to change, so must our taxonomies Taxonomy work is therefore continuous Taxonomy
11. Taxonomy and Knowledge Management evolution Paper filing systems Shared drive folder structures Content management systems Initially taxonomies were quite simple, drop down lists of keywords Initially an aid to findability As technology developed, metadata played a wider role in the control and management of content Taxonomy
12. Definition “Data about data” – Oxford English Dictionary “A collection of structured information about a document or a piece of content” For a document or (work) item of information this means data about the item such as Author, Title, Issue Data and other information. Metadata is usually defined in terms of units called “elements”, “fields”, “attributes” or “properties” Some elements may have “sub-elements” Date may have “date created”, “date approved”, “date published” Metadata may be made mandatory or optional Metadata
13. Purposes of metadata To identify content Capture fields and distinguish each document from all others Manage content Version numbers, archive date, security and access permissions Retrieval of content Taxonomy topics, subject keywords, document type Connect content to other content Behavioural metadata captured in transaction (i.e. Amazon.com) Business processes Authored by whom? Reviewed by whom and when? Approved by whom and when? Support Records Management Retention periods, disposition cycles Metadata
14. Standards and Guidelines Dublin Core Metadata Initiative (ISO 15836) Records Management ISO 15489 and 23081 US DoD 5015.2-STD Design Criteria Standard for Electronic Records Management Software Applications Metadata
16. Enforcing metadata use Items with no metadata? Minimum metadata needed at birth Metadata additions later Keep entries consistent Controlled vocabularies Pick values from lists Select from given options A simple approach The system will hold metadata about items in two main categories Essential (mandatory), to identify and manage the item Optional, the provide more information about the item More on metadata
17. Clearly metadata has to come from somewhere – and be accurate and useful Making some entries mandatory can help Too many mandatory elements may be seen as a tedious chore Too few mandatory elements may result in little metadata being entered Too many optional metadata entries may also result in little metadata being entered Users need to appreciate the VALUE of filling in the entries, voluntarily Mandatory or Optional?
18. Metadata sources Document Template System User Multi-media sources Auto-classification and auto-indexing Keyword indexing OCR/ICR Classification software Metadata Sources
19. Metadata content, however important, is notoriously difficult to acquire from users Before implementing ECM, users just put documents into an electronic folder of their choosing Now you are asking them to make a series of decisions about choosing categories, identifying access restrictions an so on Metadata implemented
20. Try to assign metadata without user involvement E.g. templates, defaults Users must see value Does it make their job easier? Metadata implemented
21. David Champeau ECM Consultant champeaudavid@yahoo.com Hope that it was helpful