Sigma EE: Reaping low-hanging fruits in RDF-based data integrationRichard Cyganiak
A presentation I gave at I-Semantics 2010 on Sigma EE, an RDF-based data integration front-end.
Sigma EE is now available for download here: http://sig.ma/?page=help
When we set out to build a knowledge graph at Zalando, most people did not know how to build one, or considered machine learning as the better solution. However, endorsement from upper management led to the current project, where we use ontologies to improve the customer search and browsing experience.
There are many unique things about the way we built our ontology for Enterprise purposes. Our ontology is peer-reviewed, use case-driven, and we apply special techniques to keep the graph and our APIs and data in sync.
Communicating the graph to different professionals also has its challenges. Backend engineers and machine learning experts have a hard time understanding knowledge graph quirks. Product people accept it only if it creates a clear improvement for customers. How do you reconcile them all?
The document discusses micro-services for linked data, proposing a recipe that uses linked data, a fluid triplestore data model, the SPARQL query language, and distinct micro-services that use standards where possible. It introduces linked data using URIs and GraphQL for automatically configuring queries to a SPARQL endpoint. HyperGraphQL is presented as an open source GraphQL interface for querying RDF triplestores that can be configured for any SPARQL endpoint and responds with JSON-LD.
This document discusses hybrid enterprise knowledge graphs and the metaphactory platform. It describes how metaphactory uses a knowledge graph as an integration hub, connecting to various data sources like databases, APIs, and machine learning models through its Ephedra federation engine. Ephedra allows querying over these different data sources together using SPARQL 1.1 federation. It provides examples of use cases involving similarity search, sensor data, chemical structures, and demonstrates federation between Wikidata and other sources.
Building Enterprise-Ready Knowledge Graph Applications in the CloudPeter Haase
The document provides an agenda for a workshop on building enterprise-ready knowledge graph applications in the cloud. The workshop will cover understanding knowledge graphs and related technologies, setting up a knowledge graph architecture on Amazon Neptune for scalable storage and querying, and using the metaphactory platform to rapidly build applications and APIs. Attendees will learn concepts for maintaining, querying and searching knowledge graphs, and building end-user and developer applications on top of knowledge graphs. The tutorial will include hands-on demonstrations and exercises to set up a small knowledge graph application.
Strata London Talk 2019. This presentation covers the architecture of key components of our AI based Master Data Management System for any entity, any format, any scale using Cassandra, Elastic, Spark and Machine Learning
This document discusses options for integrating external data into SharePoint, including Business Connectivity Services (BCS). BCS allows SharePoint to connect to external data sources and make that data accessible via external lists. However, BCS has limitations and its future is uncertain. New options like Power BI and Logic Apps provide more flexibility for building applications that integrate external data without relying on BCS. Hybrid BCS enables accessing on-premises data from SharePoint Online by publishing data through an on-premises gateway.
RDF by Structured Reference to Semantics, the RS2 frameworkKhan Mostafa
Current standard web documents are designed to be presented to humans. Machines have no idea about the information located in a web document. Semantic web is organized in a structured way so that it is meaningful to both machines and humans. In this presentation, we suggest a framework that will process the web documents and produce machine readable format in RDF (Resource Description Framework) collaborated with the OWL (Web Ontology Language).
Our suggested framework, which we call RS2 (RDF by Structured Reference to Semantics), takes an HTML document as input, extracts the plain text from it. Natural language context of plaintext is then parsed to yield subject-object-predicate of each sentence. This data is used to lookup in the ontology and generate RDF graph which is the machine intelligible semantic equivalent to the original human recognized text.
<this>
Sigma EE: Reaping low-hanging fruits in RDF-based data integrationRichard Cyganiak
A presentation I gave at I-Semantics 2010 on Sigma EE, an RDF-based data integration front-end.
Sigma EE is now available for download here: http://sig.ma/?page=help
When we set out to build a knowledge graph at Zalando, most people did not know how to build one, or considered machine learning as the better solution. However, endorsement from upper management led to the current project, where we use ontologies to improve the customer search and browsing experience.
There are many unique things about the way we built our ontology for Enterprise purposes. Our ontology is peer-reviewed, use case-driven, and we apply special techniques to keep the graph and our APIs and data in sync.
Communicating the graph to different professionals also has its challenges. Backend engineers and machine learning experts have a hard time understanding knowledge graph quirks. Product people accept it only if it creates a clear improvement for customers. How do you reconcile them all?
The document discusses micro-services for linked data, proposing a recipe that uses linked data, a fluid triplestore data model, the SPARQL query language, and distinct micro-services that use standards where possible. It introduces linked data using URIs and GraphQL for automatically configuring queries to a SPARQL endpoint. HyperGraphQL is presented as an open source GraphQL interface for querying RDF triplestores that can be configured for any SPARQL endpoint and responds with JSON-LD.
This document discusses hybrid enterprise knowledge graphs and the metaphactory platform. It describes how metaphactory uses a knowledge graph as an integration hub, connecting to various data sources like databases, APIs, and machine learning models through its Ephedra federation engine. Ephedra allows querying over these different data sources together using SPARQL 1.1 federation. It provides examples of use cases involving similarity search, sensor data, chemical structures, and demonstrates federation between Wikidata and other sources.
Building Enterprise-Ready Knowledge Graph Applications in the CloudPeter Haase
The document provides an agenda for a workshop on building enterprise-ready knowledge graph applications in the cloud. The workshop will cover understanding knowledge graphs and related technologies, setting up a knowledge graph architecture on Amazon Neptune for scalable storage and querying, and using the metaphactory platform to rapidly build applications and APIs. Attendees will learn concepts for maintaining, querying and searching knowledge graphs, and building end-user and developer applications on top of knowledge graphs. The tutorial will include hands-on demonstrations and exercises to set up a small knowledge graph application.
Strata London Talk 2019. This presentation covers the architecture of key components of our AI based Master Data Management System for any entity, any format, any scale using Cassandra, Elastic, Spark and Machine Learning
This document discusses options for integrating external data into SharePoint, including Business Connectivity Services (BCS). BCS allows SharePoint to connect to external data sources and make that data accessible via external lists. However, BCS has limitations and its future is uncertain. New options like Power BI and Logic Apps provide more flexibility for building applications that integrate external data without relying on BCS. Hybrid BCS enables accessing on-premises data from SharePoint Online by publishing data through an on-premises gateway.
RDF by Structured Reference to Semantics, the RS2 frameworkKhan Mostafa
Current standard web documents are designed to be presented to humans. Machines have no idea about the information located in a web document. Semantic web is organized in a structured way so that it is meaningful to both machines and humans. In this presentation, we suggest a framework that will process the web documents and produce machine readable format in RDF (Resource Description Framework) collaborated with the OWL (Web Ontology Language).
Our suggested framework, which we call RS2 (RDF by Structured Reference to Semantics), takes an HTML document as input, extracts the plain text from it. Natural language context of plaintext is then parsed to yield subject-object-predicate of each sentence. This data is used to lookup in the ontology and generate RDF graph which is the machine intelligible semantic equivalent to the original human recognized text.
<this>
A digital object does not have any meaning to a human being unless the content is described with descriptive, structural and technical (or administrative) metadata. The costs of producing maintaining and transforming metadata have been prohibitive, and cataloguing traditionally often required substantial time spent in repetitive tasks of duplication, which increased the risk of introducing errors. Programmatic, XMLbased metadata and XML metadata tools have promised those maintaining digital databases and datastores of metadata better ways of creating, updating, managing, and transforming metadata.
Islandora aims to simplify the process of creating, updating, and indexing XMLbased metadata for storage in a Fedora repository. This presentation provides an update on metadata related tools in Islandora, particularly in Islandora 7 (compatible with Drupal 7). In this most recent version, descriptive metadata forms based on any XML schema can be created and edited using the Form Builder; technical metadata can automatically extracted from objects on ingest using FITS; and administrative metadata emerging from ingest processes using microservices can be written to Fedora’s native “AUDIT” datastream. Islandora builds on the value and features of core Fedora, including the ability to version datastreams, and review versions in the interface.
conTEXT -- Lightweight Text Analytics using Linked DataAli Khalili
The Web democratized publishing -- everybody can easily publish information on a Website, Blog, in social networks or microblogging systems. The more the amount of published information grows, the more important are technologies for accessing, analysing, summarising and visualising information. While substantial progress has been made in the last years in each of these areas individually, we argue, that only the intelligent combination of approaches will make this progress truly useful and leverage further synergies between techniques. In this paper we develop a text analytics architecture of participation, which allows ordinary people to use sophisticated NLP techniques for analysing and visualizing their content, be it a Blog, Twitter feed, Website or article collection. The architecture comprises interfaces for information access, natural language processing and visualization. Dierent exchangeable components can be plugged into this architecture, making it easy to tailor for individual needs. We evaluate the usefulness of our approach by comparing both the eectiveness and eciency of end users within a task-solving setting. Moreover, we evaluate the usability of our approach using a questionnaire-driven approach. Both evaluations suggest that oridinary Web users are empowered to analyse their data and perform tasks, which were previously out of reach.
Visual Ontology Modeling for Domain Experts and Business Users with metaphactoryPeter Haase
Visual Ontology Modeling for Domain Experts and Business Users with metaphactory
Presentation at the OntoCommons Workshop on Ontology Engineering Tools @ Fri Mar 19, 2021
Building materialised views for linked data systems using microservicesConnected Data World
This document discusses building materialized views of linked data systems using microservices. It outlines challenges with current architectures and proposes a new architecture using microservices to build materialized views that map closely to different query profiles. The views would be updated via publish APIs and distributed to read APIs. Join operations could be handled during writes, reads, or in the views. Other considerations include tracking ontology changes and maintaining a single source of truth.
BrainSpa is a web application that allows users to explore knowledge concepts modeled as RDF triples. It generates SPARQL queries through an online form and interrogates SPARQL endpoints to view query results. Registered users can log in with existing accounts, save queries and results locally, and tag queries as public or private. The application uses technologies like Dropbox, CodeIgniter, PHP, and jQuery and stores query data in a database with endpoints and tags.
This document discusses analyzing social media data from Meetup.com using graph technologies. It describes retrieving data via the Meetup API, modeling the data as a graph, analyzing the graph using algorithms and tools like PGX and PGQL, and visualizing results in Cytoscape. Potential questions that could be answered include identifying influential people and groups, relationships between groups, and hot topics. The demo environment uses Oracle Big Data Lite with Oracle NoSQL Database to store the graph and analyze it.
This document outlines a web service work flow that involves multiple components including a workflow designer, role builder, Edraw designer, E-mall client, Cutedraw workflow server API, form manager, application servers, form server, workflow applications, reader extensions server, mail server, organizational database, enterprise directory, agent database, ERP systems, and a process administrator. The workflow allows for the design, management, and execution of workflows across different applications and systems.
GraphQL and its schema as a universal layer for database accessConnected Data World
GraphQL is a query language mostly used to streamline access to REST APIs. It is seeing tremendous growth and adoption, in organizations like Airbnb, Coursera, Docker, GitHub, Twitter, Uber, and Facebook, where it was invented.
As REST APIs are proliferating, the promise of accessing them all through a single query language and hub, which is what GraphQL and GraphQL server implementations bring, is alluring.
A significant recent addition to GraphQL was SDL, its schema definition language. SDL enables developers to define a schema governing interaction with the back-end that GraphQL servers can then implement and enforce.
Prisma is a productized version of the data layer leveraging GraphQL to access any database. Prisma works with MySQL, Postgres, and MongoDB, and is adding to this list.
Prisma sees the GraphQL community really coming together around the idea of schema-first development, and wants to use GraphQL SDL as the foundation for all interfaces between systems.
This document outlines an architecture vision that includes business architecture, information architecture, infrastructure architecture, data architecture, integration architecture, and security architecture. It discusses key concepts like scalability, elasticity, converting capital expenditures to operating expenditures, pay per use, availability across data centers, multi-tenant architecture, NoSQL databases, risk models, control frameworks, use cases, and roadmaps. It also provides examples of AWS services that could fulfill various architecture components and needs related to storage, databases, analytics, networking, developer tools, and security.
MECBOT is a unified data analysis platform that helps enterprises get actionable insights from data faster to reduce the time it takes to transform data into profits. Developed by FORMCEPT Technologies, MECBOT allows enterprises to preprocess, analyze, and gain insights from various structured and unstructured data sources through features like semantic harmonization, machine learning algorithms, and interactive dashboards. MECBOT can be deployed on-premises, in private or public clouds, and reduces the time to insights by half while delivering 60% cost savings.
The document discusses various enterprise applications and technologies including LDAP, ODBC, application servers, directories, databases, PDFs, HTML, forms, workflows, EAI, mail servers, XML registries, and ERP systems. It also mentions Cutedraw Workflow Server API, Workflow Designer, Role Builder, Process Administrator, and Edraw Designer which are tools for designing and managing workflows across different applications and technologies.
The trajectory schema.org has taken, starting with a history that is less a retrospective than a narrative. I'll follow this narrative to the fortunately-timed emergence of JSON-LD, providing as it does a flexible, standards-based serialization of the vocabulary.
This, I'll explain, helped fuel the popularity of schema.org, which in turn has caused a demand for more schemas, growing the vocabulary and its capabilities. I'll make the case that schema.org has started to resemble exactly what everyone involved in the initiative declared it shouldn't be: an ontology of everything.
Whether or not that be the case, I'll say, the utility of having a relatively simple, well thought-out, well-understood and very broad vocabulary available has made schema.org (along with JSON-LD) a go-to tool for linked data modelers.
Finally, and with a look at the many ways Google, in particular, has made use of schema.org, I'll explore to what extent its utility extends past being a convenient starting for point for back-of-the napkin knowledge graph development, or whether it's making a significant contribution to realizing the promise of a web of data.
The document discusses big data and its key characteristics known as the 5Vs: volume, velocity, variety, variability, and value. It provides examples of how different companies and industries deal with large volumes of data from various sources in real-time. Big data technologies like Hadoop, HDFS, MapReduce, Cassandra, and MongoDB are helping companies analyze and gain insights from both structured and unstructured data across industries like retail, finance, and social media. Data scientists use tools, techniques and programming languages to understand trends and patterns in large, complex data sets.
This document introduces GraphQL as an alternative to RESTful APIs that allows clients to request specific data in a single query. It discusses some of the challenges with RESTful APIs like multiple requests needed for a single view and specialized routes. GraphQL addresses these issues by allowing clients to request related data across multiple sources in a single query using a typed schema. It also describes how GraphQL enables features like versioning individual fields, auto-generated documentation from the schema, and insight into query performance.
Implementing BCS-Business Connectivity Services - Sharepoint 2013- Office 365Shahzad S
BCS enables accessing external data from SharePoint and Office applications. It involves three phases - groundwork, SharePoint, and Office. Architectures include server-side only in SharePoint, client-side in Office, on-premises, cloud-only, and hybrid. Solutions can be built using Visual Studio or SharePoint Designer connecting to databases, web services, .NET assemblies, and OData sources. Security, performance, and limitations require consideration.
Chapter 13: The Lack of a Budgetary Theory (PA-510)Kathleen Calvo
The document discusses the government budgeting process and how budgets are used to allocate scarce resources to maximize social utility. Budget-makers plan expenditures to carry out economic policy over a period of time based on priorities and available resources. They must decide how to allocate funds between different activities. Creating an effective budget requires balancing the interests of politicians, economists, public groups, and ensuring accountability and timely decisions are made in the public interest.
Semantic Technology in Document ManagementGeorge Roth
This is the vision of Recognos about the future of Semantic Technology in Document Management. The presentation was created for the SemTech Conference in November, 2011 in Washington DC.
Kathleen introduces various technology tools she can teach others to use like Moodle, SlideShare, and Blogger. She explains that she needs an Apple computer to explore the internet and universe as Apples provide protection from viruses. Kathleen shares how she has used technology in her Mac lab by sharing slides, threading voices, and hosting webinars. She concludes by stating her goals as an aspiring teacher to include technology in her lesson plans to present issues and evaluate, with the goal of bettering the future through educating children.
The document compares the websites of two hotels, the Esmeralda hotel and Le General hotel. It finds that while information is easy to find on both sites, Le General hotel provides more detailed information and an easy online booking system. In contrast, Esmeralda hotel requires customers to call to book or get additional details. The style of each website reflects the level and style of the hotels, with Esmeralda having an older, simpler site, and Le General a more modern, graphic-heavy site. Improvements are recommended for Esmeralda hotel to provide more online information and booking capabilities, while Le General could enhance its targeting of customers.
A digital object does not have any meaning to a human being unless the content is described with descriptive, structural and technical (or administrative) metadata. The costs of producing maintaining and transforming metadata have been prohibitive, and cataloguing traditionally often required substantial time spent in repetitive tasks of duplication, which increased the risk of introducing errors. Programmatic, XMLbased metadata and XML metadata tools have promised those maintaining digital databases and datastores of metadata better ways of creating, updating, managing, and transforming metadata.
Islandora aims to simplify the process of creating, updating, and indexing XMLbased metadata for storage in a Fedora repository. This presentation provides an update on metadata related tools in Islandora, particularly in Islandora 7 (compatible with Drupal 7). In this most recent version, descriptive metadata forms based on any XML schema can be created and edited using the Form Builder; technical metadata can automatically extracted from objects on ingest using FITS; and administrative metadata emerging from ingest processes using microservices can be written to Fedora’s native “AUDIT” datastream. Islandora builds on the value and features of core Fedora, including the ability to version datastreams, and review versions in the interface.
conTEXT -- Lightweight Text Analytics using Linked DataAli Khalili
The Web democratized publishing -- everybody can easily publish information on a Website, Blog, in social networks or microblogging systems. The more the amount of published information grows, the more important are technologies for accessing, analysing, summarising and visualising information. While substantial progress has been made in the last years in each of these areas individually, we argue, that only the intelligent combination of approaches will make this progress truly useful and leverage further synergies between techniques. In this paper we develop a text analytics architecture of participation, which allows ordinary people to use sophisticated NLP techniques for analysing and visualizing their content, be it a Blog, Twitter feed, Website or article collection. The architecture comprises interfaces for information access, natural language processing and visualization. Dierent exchangeable components can be plugged into this architecture, making it easy to tailor for individual needs. We evaluate the usefulness of our approach by comparing both the eectiveness and eciency of end users within a task-solving setting. Moreover, we evaluate the usability of our approach using a questionnaire-driven approach. Both evaluations suggest that oridinary Web users are empowered to analyse their data and perform tasks, which were previously out of reach.
Visual Ontology Modeling for Domain Experts and Business Users with metaphactoryPeter Haase
Visual Ontology Modeling for Domain Experts and Business Users with metaphactory
Presentation at the OntoCommons Workshop on Ontology Engineering Tools @ Fri Mar 19, 2021
Building materialised views for linked data systems using microservicesConnected Data World
This document discusses building materialized views of linked data systems using microservices. It outlines challenges with current architectures and proposes a new architecture using microservices to build materialized views that map closely to different query profiles. The views would be updated via publish APIs and distributed to read APIs. Join operations could be handled during writes, reads, or in the views. Other considerations include tracking ontology changes and maintaining a single source of truth.
BrainSpa is a web application that allows users to explore knowledge concepts modeled as RDF triples. It generates SPARQL queries through an online form and interrogates SPARQL endpoints to view query results. Registered users can log in with existing accounts, save queries and results locally, and tag queries as public or private. The application uses technologies like Dropbox, CodeIgniter, PHP, and jQuery and stores query data in a database with endpoints and tags.
This document discusses analyzing social media data from Meetup.com using graph technologies. It describes retrieving data via the Meetup API, modeling the data as a graph, analyzing the graph using algorithms and tools like PGX and PGQL, and visualizing results in Cytoscape. Potential questions that could be answered include identifying influential people and groups, relationships between groups, and hot topics. The demo environment uses Oracle Big Data Lite with Oracle NoSQL Database to store the graph and analyze it.
This document outlines a web service work flow that involves multiple components including a workflow designer, role builder, Edraw designer, E-mall client, Cutedraw workflow server API, form manager, application servers, form server, workflow applications, reader extensions server, mail server, organizational database, enterprise directory, agent database, ERP systems, and a process administrator. The workflow allows for the design, management, and execution of workflows across different applications and systems.
GraphQL and its schema as a universal layer for database accessConnected Data World
GraphQL is a query language mostly used to streamline access to REST APIs. It is seeing tremendous growth and adoption, in organizations like Airbnb, Coursera, Docker, GitHub, Twitter, Uber, and Facebook, where it was invented.
As REST APIs are proliferating, the promise of accessing them all through a single query language and hub, which is what GraphQL and GraphQL server implementations bring, is alluring.
A significant recent addition to GraphQL was SDL, its schema definition language. SDL enables developers to define a schema governing interaction with the back-end that GraphQL servers can then implement and enforce.
Prisma is a productized version of the data layer leveraging GraphQL to access any database. Prisma works with MySQL, Postgres, and MongoDB, and is adding to this list.
Prisma sees the GraphQL community really coming together around the idea of schema-first development, and wants to use GraphQL SDL as the foundation for all interfaces between systems.
This document outlines an architecture vision that includes business architecture, information architecture, infrastructure architecture, data architecture, integration architecture, and security architecture. It discusses key concepts like scalability, elasticity, converting capital expenditures to operating expenditures, pay per use, availability across data centers, multi-tenant architecture, NoSQL databases, risk models, control frameworks, use cases, and roadmaps. It also provides examples of AWS services that could fulfill various architecture components and needs related to storage, databases, analytics, networking, developer tools, and security.
MECBOT is a unified data analysis platform that helps enterprises get actionable insights from data faster to reduce the time it takes to transform data into profits. Developed by FORMCEPT Technologies, MECBOT allows enterprises to preprocess, analyze, and gain insights from various structured and unstructured data sources through features like semantic harmonization, machine learning algorithms, and interactive dashboards. MECBOT can be deployed on-premises, in private or public clouds, and reduces the time to insights by half while delivering 60% cost savings.
The document discusses various enterprise applications and technologies including LDAP, ODBC, application servers, directories, databases, PDFs, HTML, forms, workflows, EAI, mail servers, XML registries, and ERP systems. It also mentions Cutedraw Workflow Server API, Workflow Designer, Role Builder, Process Administrator, and Edraw Designer which are tools for designing and managing workflows across different applications and technologies.
The trajectory schema.org has taken, starting with a history that is less a retrospective than a narrative. I'll follow this narrative to the fortunately-timed emergence of JSON-LD, providing as it does a flexible, standards-based serialization of the vocabulary.
This, I'll explain, helped fuel the popularity of schema.org, which in turn has caused a demand for more schemas, growing the vocabulary and its capabilities. I'll make the case that schema.org has started to resemble exactly what everyone involved in the initiative declared it shouldn't be: an ontology of everything.
Whether or not that be the case, I'll say, the utility of having a relatively simple, well thought-out, well-understood and very broad vocabulary available has made schema.org (along with JSON-LD) a go-to tool for linked data modelers.
Finally, and with a look at the many ways Google, in particular, has made use of schema.org, I'll explore to what extent its utility extends past being a convenient starting for point for back-of-the napkin knowledge graph development, or whether it's making a significant contribution to realizing the promise of a web of data.
The document discusses big data and its key characteristics known as the 5Vs: volume, velocity, variety, variability, and value. It provides examples of how different companies and industries deal with large volumes of data from various sources in real-time. Big data technologies like Hadoop, HDFS, MapReduce, Cassandra, and MongoDB are helping companies analyze and gain insights from both structured and unstructured data across industries like retail, finance, and social media. Data scientists use tools, techniques and programming languages to understand trends and patterns in large, complex data sets.
This document introduces GraphQL as an alternative to RESTful APIs that allows clients to request specific data in a single query. It discusses some of the challenges with RESTful APIs like multiple requests needed for a single view and specialized routes. GraphQL addresses these issues by allowing clients to request related data across multiple sources in a single query using a typed schema. It also describes how GraphQL enables features like versioning individual fields, auto-generated documentation from the schema, and insight into query performance.
Implementing BCS-Business Connectivity Services - Sharepoint 2013- Office 365Shahzad S
BCS enables accessing external data from SharePoint and Office applications. It involves three phases - groundwork, SharePoint, and Office. Architectures include server-side only in SharePoint, client-side in Office, on-premises, cloud-only, and hybrid. Solutions can be built using Visual Studio or SharePoint Designer connecting to databases, web services, .NET assemblies, and OData sources. Security, performance, and limitations require consideration.
Chapter 13: The Lack of a Budgetary Theory (PA-510)Kathleen Calvo
The document discusses the government budgeting process and how budgets are used to allocate scarce resources to maximize social utility. Budget-makers plan expenditures to carry out economic policy over a period of time based on priorities and available resources. They must decide how to allocate funds between different activities. Creating an effective budget requires balancing the interests of politicians, economists, public groups, and ensuring accountability and timely decisions are made in the public interest.
Semantic Technology in Document ManagementGeorge Roth
This is the vision of Recognos about the future of Semantic Technology in Document Management. The presentation was created for the SemTech Conference in November, 2011 in Washington DC.
Kathleen introduces various technology tools she can teach others to use like Moodle, SlideShare, and Blogger. She explains that she needs an Apple computer to explore the internet and universe as Apples provide protection from viruses. Kathleen shares how she has used technology in her Mac lab by sharing slides, threading voices, and hosting webinars. She concludes by stating her goals as an aspiring teacher to include technology in her lesson plans to present issues and evaluate, with the goal of bettering the future through educating children.
The document compares the websites of two hotels, the Esmeralda hotel and Le General hotel. It finds that while information is easy to find on both sites, Le General hotel provides more detailed information and an easy online booking system. In contrast, Esmeralda hotel requires customers to call to book or get additional details. The style of each website reflects the level and style of the hotels, with Esmeralda having an older, simpler site, and Le General a more modern, graphic-heavy site. Improvements are recommended for Esmeralda hotel to provide more online information and booking capabilities, while Le General could enhance its targeting of customers.
The Semantic Data Factory Boston Text Analystics World 2013George Roth
The document discusses the Data Factory, which is a system used to extract data from unstructured financial documents. It consists of several components, including data sources, extraction software, databases to store extracted data, and interfaces to deliver the data. The data factory employs various techniques including natural language processing, machine learning, and human reviewers to extract over 260 data points from documents. It also links the documents, funds, and share classes described to structure the data for further analysis. The goal is to extract structured, usable data from unstructured financial filings in an efficient, continuously improving manner.
Chapter 13: The Lack of a Budgetary TheoryKathleen Calvo
The document discusses government budgeting and its role in planning and allocating resources. Budget-makers must determine how to best allocate limited revenues across spending agencies to maximize social utility. They face challenges in balancing the requests of all agencies. Pressure groups can also influence funding allocations based on political interests rather than public value. Overall, the budget represents the government's judgments about distributing goods and services based on its priorities.
Recognos is a semantic technology company established in 1999 with offices in California and Romania. They have 70 employees conducting research and development into semantic technologies. Their applications include finance, CRM, life sciences, and more. Semantic technology aims to teach machines human reasoning by representing knowledge as statements describing concepts, logic, and relationships. This allows for integrated querying across structured and unstructured data sources. Recognos can help companies like Netflix develop semantic applications such as integrated search across data sources and detecting similarities in film descriptions.
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.
This document provides an overview of the Semantic Web landscape in 2010, characterized by stable core technologies complemented by emerging standards. It discusses key Semantic Web technologies like RDF, RDFS, OWL, and SPARQL, and how they enable applications not previously possible. While the Semantic Web and its technologies can be viewed differently, they represent a common, coherent set of technology standards that encourage interoperability and incremental development. The document outlines the progress of the Semantic Web community from initial experiments to larger production implementations in 2010.
PoolParty is a thesaurus management and semantic search software developed by punkt.netServices. It has been in use since 1998 and focuses on enhancing content through semantic annotation, linking, and search capabilities. PoolParty allows users to create and manage thesauri according to SKOS standards and perform semantic searches through statistical and knowledge-based models. It provides applications for tagging, similarity search, and semantic indexing to help users better organize and explore content.
Linked data for Enterprise Data IntegrationSören Auer
The Web evolves into a Web of Data. In parallel Intranets of large companies will evolve into Data Intranets based on the Linked Data principles. Linked Data has the potential to complement the SOA paradigm with a light-weight, adaptive data integration approach.
The document discusses semantic web technology, which aims to make information on the web better understood by machines by giving data well-defined meaning. It outlines the evolution of web technologies from the initial web to the semantic web. Key aspects of semantic web technology include ontologies to define common vocabularies, semantic annotations to associate meaning with data, and reasoning capabilities to enable complex queries and analyses. Languages, tools, and applications are needed to implement these semantic web standards and make the web of linked data usable.
This document provides a development update on SMW+ (Semantic MediaWiki plus). It discusses the past, present, and future of Vulcan's semantic technology efforts including AURA, SILK, and SMW+. It outlines focus areas and applications like a semantic movie database and project management. It summarizes extensions developed and future plans which include improving existing extensions, maintaining wiki apps, integrating social features, and advancing semantics through natural language processing and analytics.
This talk given at the Hadoop Summit in San Jose on June 28, 2016, analyzes a few major trends in Big Data analytics.
These are a few takeaways from this talk:
- Adopt Apache Beam for easier development and portability between Big Data Execution Engines.
- Adopt stream analytics for faster time to insight, competitive advantages and operational efficiency.
- Accelerate your Big Data applications with In-Memory open source tools.
- Adopt Rapid Application Development of Big Data applications: APIs, Notebooks, GUIs, Microservices…
- Have Machine Learning part of your strategy or passively watch your industry completely transformed!
- How to advance your strategy for hybrid integration between cloud and on-premise deployments?
X api chinese cop monthly meeting feb.2016Jessie Chuang
The document summarizes the topics discussed at an XAPI Chinese CoP meeting in February 2016. It covered the XAPI vocabulary specification, linked data/semantic web, linked data in education and content recommendation, semantic search and Google Knowledge Graph, monetizing data and adding intelligence. It also included a case study on Hong Ding Educational Technology using XAPI data and partnerships to provide differentiated learning paths. The document emphasized collaborating on standards for competency, user data, content metadata and xAPI statements to enable partnerships and monetizing data while ensuring security, regulation and collective decision making.
Igor Moochnick is the director of cloud platforms at BlueMetal Architects. BlueMetal provides services focused on creative and interactive services, mobile applications, web and RIA clients, and enterprise collaboration using platforms like Apple, Amazon, Microsoft, and open source software. BlueMetal prioritizes deep discovery of customer needs, agile development with small integrated teams, and delivering end-to-end solutions through their engineering and creative capabilities.
Slim Baltagi, director of Enterprise Architecture at Capital One, gave a presentation at Hadoop Summit on major trends in big data analytics. He discussed 1) increasing portability between execution engines using Apache Beam, 2) the emergence of stream analytics driven by data streams, technology advances, business needs and consumer demands, 3) the growth of in-memory analytics using tools like Alluxio and RocksDB, 4) rapid application development using APIs, notebooks, GUIs and microservices, 5) open sourcing of machine learning systems by tech giants, and 6) hybrid cloud computing models for deploying big data applications both on-premise and in the cloud.
Slim Baltagi, director of Enterprise Architecture at Capital One, gave a presentation at Hadoop Summit on major trends in big data analytics. He discussed 1) increasing portability between execution engines using Apache Beam, 2) the emergence of stream analytics to enable real-time insights, and 3) leveraging in-memory technologies. He also covered 4) rapid application development tools, 5) open-sourcing of machine learning systems, and 6) hybrid cloud deployments of big data applications across on-premise and cloud environments.
Information Management & Sharing in Digital Era Liaquat Rahoo
The document discusses essential skills for information professionals in the digital era, including various information management and sharing tools. It covers websites like static and dynamic sites, as well as software tools including web-based and desktop software. Specific tools covered include UNESCO information storage and retrieval tools, configuring a library catalog using the Library of Congress Z39.50 server, and using Google Drive on desktop computers. The objectives are to learn about various information management tools and technologies useful for information professionals.
The document discusses Oracle's Business Intelligence Enterprise Edition (BI EE) product. It provides a comprehensive, integrated BI platform that offers a unified enterprise view of data across all sources through its common enterprise information model. Key features include interactive dashboards, ad hoc analysis, automated alerts, and integrated performance management. The platform leverages existing IT investments and can be rapidly deployed using prebuilt analytic applications for various functions and industries.
OPAC Labs provides software development services including custom web applications, portals, and mobile applications using technologies like Java/Grails, PHP, Android, and iOS. They recommend agile development practices like iterative development, test-driven development, and continuous integration. Their solution delivery approach includes requirements tracing, architecture/design reviews, and performance engineering.
BrainSpa is a web application that allows users to explore knowledge from RDF files using SPARQL queries without needing to know SPARQL. It uses various technologies like CodeIgniter, Zend Framework, OAuth, and RAP. The application was developed using an XP methodology with responsibilities divided among the team. It follows an MVC pattern with the database as the model, the user interface as the view, and controllers handling interactions. The interface allows building and saving SPARQL queries to explore various SPARQL endpoints.
Archonnex is a new software architecture developed by ICPSR for digital assets management systems. Built using modern technology stack to meet the current and emerging needs of social science research.
With increase in size of web, volume of information content is becoming huge resulting in difficult to search, access, manage and maintain. Creating machine processible semantic could decrease some of these problems. In this post, we will discuss some of the applications of semantic web as we discussed in earlier post. Before we dive into applications, lets see what are semantic web applications.
The document proposes a Semantic PaaS (SPaaS) cloud platform to extract and process text information using natural language. It would address the challenges of making sense of vast amounts of online content and linking related information. The SPaaS architecture would include services for enriching document metadata, integrating existing data for analytics, publishing semantic data sets, and identifying cross-language links. This innovation could help users more effectively analyze unstructured information and make informed decisions.
The recent development of the World Wide Web has moved from static HTML pages to more dynamic and intelligent web applications with desktop-like characteristics. AJAX (Asynchronous JavaScript and XML) has been the main driver of this change, allowing for asynchronous updates to web application content from the server without page reloads. AJAX uses a combination of technologies including JavaScript, XML, and HTTP requests to update partial web page content dynamically. This enables web applications to have more interactive interfaces and deliver a more desktop-like experience to users.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.