This is part 2 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This document provides an overview of a hands-on tutorial on using the GoodRelations ontology, RDFa, and Yahoo! SearchMonkey to annotate e-commerce data on the Semantic Web. The learning goals are to use GoodRelations and RDFa to augment websites with product details, publish structured data using RDFa, and query the data using SPARQL. The agenda includes introductions, motivations for the Semantic Web, tutorials on GoodRelations and RDFa, exercises annotating a web shop, and demonstrations of querying and publishing semantic data.
This is part 4 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
Web Site Visibility in the Giant Graph of Commerce DataMartin Hepp
In this talk, I explain the impact of the GoodRelations vocabulary, the RDFa syntax for rich meta-data, and the Linked Data initiative for Search Engine Optimization (SEO).
RDFa Introductory Course Session 2/4 How RDFaPlatypus
RDFa is a method for embedding Rich Data Formats metadata within HTML documents. It allows metadata like titles, descriptions and URLs to be added to HTML pages in a way that is readable both by humans and machines. The summary describes how RDFa works by defining resources with URIs and properties, and how this extracted data can be distilled and validated using various RDFa tools on the W3C website.
Session 5/8. Content strategy. The Strategic Content Alliance, JISC sponsored workshops on Maximising Online Resource Effectiveness, held on different occasions throughout 2010 and delivered by Netskills.
Linked Data for Libraries: Experiments between Cornell, Harvard and StanfordSimeon Warner
The Linked Data for Libraries (LD4L) project aims to connect bibliographic, person, and usage data from Cornell, Harvard, and Stanford using linked open data. The project is developing an extensible LD4L ontology based on existing standards like BIBFRAME and VIVO. It is working to transform over 30 million bibliographic records into linked data and demonstrate cross-institutional search. The goals are to provide richer discovery and context for scholarly resources by connecting previously isolated library data.
s developing mash-ups with Web 2.0 really much easier than using Semantic Web technologies? For instance, given a music style as an input, what it takes to retrieve data from online music archives (MusicBrainz, MusicBrainz D2R Server, MusicMoz) and event databases (EVDB)? What to merge them and to let the users explore the results? Are Semantic Web technologies up to this Web 2.0 challenge? This half-day tutorial shows how to realize a Semantic Web Application we named Music Event Explorer or shortly meex (try it!).
Session 3/8. Priority issues. The Strategic Content Alliance, JISC sponsored workshops on Maximising Online Resource Effectiveness, held on different occasions throughout 2010 and delivered by Netskills.
Leveraging the semantic web meetup, Semantic Search, Schema.org and moreBarbaraStarr2009
A history and description of the adoption of Semantic Search by the major search and social engines. Covers schema.org, the knowledege graph and status to date (july 30, 2013). Presented From a Search Engine Point of View.
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
Video: http://www.youtube.com/watch?v=Pj0Uh0x4yos
How to build smart applications based on linked data and semantic technologies
Epiphany: Adaptable RDFa Generation Linking the Web of Documents to the Web o...Benjamin Adrian
This presentation is about Epiphany, a system that automatically generates RDFa annotated versions of web pages based on information from Linked Data models.
This document summarizes the origins and development of Schema.org. It began as an effort by Tim Berners-Lee in 1989 to conceive of the World Wide Web. Later developments included the semantic web in 2001 and linked open data in 2009. Schema.org was introduced in 2011 as a joint effort between Google, Bing, Yahoo, and Yandex to create a common set of schemas for structured data on web pages. It has since grown significantly, with over 12 million websites now using Schema.org markup and over 500 types and 800 properties defined. Various communities like libraries have also influenced Schema.org through extensions and standards like LRMI.
The document describes the development of a semantic web application called Music Event Explorer (meex) that will integrate data from multiple existing music-related data sources using semantic web technologies. It will allow users to explore music events related to artists and styles. The application will merge data about artists, music styles, and events from sources like MusicBrainz, MusicMoz, and EVDB into a unified RDF model using tools like RDF, OWL, and SPARQL. The development will follow good software engineering practices for a semantic web application.
Talk given at Open Knowledge Foundation 'Opening Up Metadata: Challenges, Standards and Tools' Workshop, Queen Mary University of London, 13th June 2012.
Info on the event at http://openglam.org/2012/05/31/last-places-left-for-opening-up-metadata-challenges-standards-and-tools/
The document is a tutorial on Linked Data that discusses motivations for using Linked Data and provides an overview of key concepts. It summarizes that Linked Data allows publishing structured data on the web using semantic web technologies and standards, creating a single global data space. It outlines the four principles of Linked Data and shows how data from different sources can be interlinked and discovered through resolving URIs. Examples are given of large-scale deployment of Linked Data on the web and in government domains. Applications of Linked Data like browsers, search engines and mashups are also briefly described.
This document summarizes Rob Sanderson's presentation on linked data best practices and BibFrame. It finds that while BibFrame 2.0 shows some improvement, it still does not fully conform to linked data best practices. Specifically, it does not sufficiently reuse existing vocabularies, relate terms outside its namespace, or drop remaining non-URI identifiers. It also finds that the MARC to BibFrame conversion tools are insufficient for production use and need to be more openly developed and documented to support implementation by the linked data community.
Linked Data Integration and semantic webDiego Pessoa
This document discusses linked data and the semantic web. It explains that as data volumes on the web grow, linking related data from different sources becomes important. Linked data uses URIs and RDF to connect related data and establish links between resources on the web. The principles of linked data include using URIs to identify things, providing HTTP URIs so people can look up those names, and including links to other related resources. Guidelines are provided for publishing linked data, such as using dereferenceable URIs and creating RDF links. Both browsers and domain-specific applications can be used to consume linked data. Research challenges for linked data include user interfaces, application architectures, and maintaining links between data.
The document discusses the rise of structured data and RDFa usage on the web, known as "The Wave". It describes how search engines like Yahoo, Google and Facebook began supporting RDFa for rich snippets in search results starting in 2008. As adoption increased, it led to growth in the Linked Open Data cloud. The document encourages adding RDFa to websites to take advantage of benefits like increased click-through rates and search visibility. It notes that standardized vocabularies are important and demonstrates an RDFa validation tool.
This document discusses how semantic web technologies are being leveraged in various real world applications. It begins by providing examples of how search engines like Google and Bing are using semantic metadata to provide definitive answers and rich snippets directly in search results. It then discusses how social networks like Facebook are using semantic metadata through technologies like Open Graph protocol. The document concludes by showcasing the growth of Linked Open Data cloud and listing organizations that are adopting semantic web standards like RDFa.
RDFa: introduction, comparison with microdata and microformats and how to use itJose Luis Lopez Pino
Presentation for the course 'XML and Web Technologies' of the IT4BI Erasmus Mundus Master's Programme. Introduction, motivation, target domain, schema, attributes, comparing RDFa with RDF, comparing RDFa with Microformats, comparing RDFa with Microdata, how to use RDFa to improve websites, how to extract metadata defined with RDFa, GRDDL and a simple exercise.
The document discusses the principles and benefits of linked open data (LOD) in the culture sector. It describes several cultural heritage organizations that publish linked data, including Europeana, the Collections Trust, the Science Museum, and Semuse. It then lists 10 principles for implementing linked data in the culture sector, such as making data rich and connected, helping achieve efficient practice and public access, and becoming an embedded function of cultural organization software. Finally, it provides examples of linked data technologies like content negotiation, SPARQL querying, and RDF stores.
Linked data demystified:Practical efforts to transform CONTENTDM metadata int...Cory Lampert
This document outlines a presentation about transforming metadata from a CONTENTdm digital collection into linked data. It discusses the concepts of linked data, including defining linked data, linked data principles, technologies and standards. It then explains how these concepts can be applied to digital collection records, including anticipated challenges working with CONTENTdm. The document describes a linked data project at UNLV Libraries to transform collection records into linked data and publish it on the linked data cloud. It provides tips for creating metadata that is more suitable for linked data.
Linked Data for Libraries: Experiments between Cornell, Harvard and StanfordSimeon Warner
The Linked Data for Libraries (LD4L) project aims to connect bibliographic, person, and usage data from Cornell, Harvard, and Stanford using linked open data. The project is developing an extensible LD4L ontology based on existing standards like BIBFRAME and VIVO. It is working to transform over 30 million bibliographic records into linked data and demonstrate cross-institutional search. The goals are to provide richer discovery and context for scholarly resources by connecting previously isolated library data.
s developing mash-ups with Web 2.0 really much easier than using Semantic Web technologies? For instance, given a music style as an input, what it takes to retrieve data from online music archives (MusicBrainz, MusicBrainz D2R Server, MusicMoz) and event databases (EVDB)? What to merge them and to let the users explore the results? Are Semantic Web technologies up to this Web 2.0 challenge? This half-day tutorial shows how to realize a Semantic Web Application we named Music Event Explorer or shortly meex (try it!).
Session 3/8. Priority issues. The Strategic Content Alliance, JISC sponsored workshops on Maximising Online Resource Effectiveness, held on different occasions throughout 2010 and delivered by Netskills.
Leveraging the semantic web meetup, Semantic Search, Schema.org and moreBarbaraStarr2009
A history and description of the adoption of Semantic Search by the major search and social engines. Covers schema.org, the knowledege graph and status to date (july 30, 2013). Presented From a Search Engine Point of View.
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
Video: http://www.youtube.com/watch?v=Pj0Uh0x4yos
How to build smart applications based on linked data and semantic technologies
Epiphany: Adaptable RDFa Generation Linking the Web of Documents to the Web o...Benjamin Adrian
This presentation is about Epiphany, a system that automatically generates RDFa annotated versions of web pages based on information from Linked Data models.
This document summarizes the origins and development of Schema.org. It began as an effort by Tim Berners-Lee in 1989 to conceive of the World Wide Web. Later developments included the semantic web in 2001 and linked open data in 2009. Schema.org was introduced in 2011 as a joint effort between Google, Bing, Yahoo, and Yandex to create a common set of schemas for structured data on web pages. It has since grown significantly, with over 12 million websites now using Schema.org markup and over 500 types and 800 properties defined. Various communities like libraries have also influenced Schema.org through extensions and standards like LRMI.
The document describes the development of a semantic web application called Music Event Explorer (meex) that will integrate data from multiple existing music-related data sources using semantic web technologies. It will allow users to explore music events related to artists and styles. The application will merge data about artists, music styles, and events from sources like MusicBrainz, MusicMoz, and EVDB into a unified RDF model using tools like RDF, OWL, and SPARQL. The development will follow good software engineering practices for a semantic web application.
Talk given at Open Knowledge Foundation 'Opening Up Metadata: Challenges, Standards and Tools' Workshop, Queen Mary University of London, 13th June 2012.
Info on the event at http://openglam.org/2012/05/31/last-places-left-for-opening-up-metadata-challenges-standards-and-tools/
The document is a tutorial on Linked Data that discusses motivations for using Linked Data and provides an overview of key concepts. It summarizes that Linked Data allows publishing structured data on the web using semantic web technologies and standards, creating a single global data space. It outlines the four principles of Linked Data and shows how data from different sources can be interlinked and discovered through resolving URIs. Examples are given of large-scale deployment of Linked Data on the web and in government domains. Applications of Linked Data like browsers, search engines and mashups are also briefly described.
This document summarizes Rob Sanderson's presentation on linked data best practices and BibFrame. It finds that while BibFrame 2.0 shows some improvement, it still does not fully conform to linked data best practices. Specifically, it does not sufficiently reuse existing vocabularies, relate terms outside its namespace, or drop remaining non-URI identifiers. It also finds that the MARC to BibFrame conversion tools are insufficient for production use and need to be more openly developed and documented to support implementation by the linked data community.
Linked Data Integration and semantic webDiego Pessoa
This document discusses linked data and the semantic web. It explains that as data volumes on the web grow, linking related data from different sources becomes important. Linked data uses URIs and RDF to connect related data and establish links between resources on the web. The principles of linked data include using URIs to identify things, providing HTTP URIs so people can look up those names, and including links to other related resources. Guidelines are provided for publishing linked data, such as using dereferenceable URIs and creating RDF links. Both browsers and domain-specific applications can be used to consume linked data. Research challenges for linked data include user interfaces, application architectures, and maintaining links between data.
The document discusses the rise of structured data and RDFa usage on the web, known as "The Wave". It describes how search engines like Yahoo, Google and Facebook began supporting RDFa for rich snippets in search results starting in 2008. As adoption increased, it led to growth in the Linked Open Data cloud. The document encourages adding RDFa to websites to take advantage of benefits like increased click-through rates and search visibility. It notes that standardized vocabularies are important and demonstrates an RDFa validation tool.
This document discusses how semantic web technologies are being leveraged in various real world applications. It begins by providing examples of how search engines like Google and Bing are using semantic metadata to provide definitive answers and rich snippets directly in search results. It then discusses how social networks like Facebook are using semantic metadata through technologies like Open Graph protocol. The document concludes by showcasing the growth of Linked Open Data cloud and listing organizations that are adopting semantic web standards like RDFa.
RDFa: introduction, comparison with microdata and microformats and how to use itJose Luis Lopez Pino
Presentation for the course 'XML and Web Technologies' of the IT4BI Erasmus Mundus Master's Programme. Introduction, motivation, target domain, schema, attributes, comparing RDFa with RDF, comparing RDFa with Microformats, comparing RDFa with Microdata, how to use RDFa to improve websites, how to extract metadata defined with RDFa, GRDDL and a simple exercise.
The document discusses the principles and benefits of linked open data (LOD) in the culture sector. It describes several cultural heritage organizations that publish linked data, including Europeana, the Collections Trust, the Science Museum, and Semuse. It then lists 10 principles for implementing linked data in the culture sector, such as making data rich and connected, helping achieve efficient practice and public access, and becoming an embedded function of cultural organization software. Finally, it provides examples of linked data technologies like content negotiation, SPARQL querying, and RDF stores.
Linked data demystified:Practical efforts to transform CONTENTDM metadata int...Cory Lampert
This document outlines a presentation about transforming metadata from a CONTENTdm digital collection into linked data. It discusses the concepts of linked data, including defining linked data, linked data principles, technologies and standards. It then explains how these concepts can be applied to digital collection records, including anticipated challenges working with CONTENTdm. The document describes a linked data project at UNLV Libraries to transform collection records into linked data and publish it on the linked data cloud. It provides tips for creating metadata that is more suitable for linked data.
The document discusses metadata and semantic web technologies. It provides an example of using RDFa to embed metadata in a web page about a book. It also shows how schema.org, microformats, and microdata can be used to add structured metadata. Finally, it discusses linked data and how semantic web technologies allow sharing and linking data on the web.
RDF and linked data standards allow for layering and linking of information on the web. There is a large and growing amount of RDF data available from sources like Wikipedia, Flickr, government data sets, and more. Standards like RDF, RDFS, OWL, SKOS, and SPARQL enable publishing, linking, querying and reusing this structured data on the web in a way that is machine-readable. Integrating RDF and linked data into systems like Drupal could provide benefits like improved searchability, cross-linking of content, and reuse of external taxonomies and metadata schemas.
This document provides an agenda for a hands-on workshop on using the GoodRelations ontology, RDFa, and Yahoo SearchMonkey to publish structured data on e-commerce websites. The workshop covers an overview of the semantic web and GoodRelations ontology, using RDFa to embed semantic annotations in web pages, hands-on exercises for annotating a sample web shop with GoodRelations, and techniques for publishing and querying semantic web data. Attendees will learn how to represent e-commerce data using GoodRelations and RDFa, publish their structured data on the web, and write SPARQL queries to search over semantic web datasets.
RDF Graph Data Management in Oracle Database and NoSQL PlatformsGraph-TA
This document discusses Oracle's support for graph data models across its database and NoSQL platforms. It provides an overview of Oracle's RDF graph and property graph support in Oracle Database 12c and Oracle NoSQL Database. It also outlines Oracle's strategy to support graph data types on all its enterprise platforms, including Oracle Database, Oracle NoSQL, Oracle Big Data, and Oracle Cloud.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
Talk about Exploring the Semantic Web, and particularly Linked Data, and the Rhizomer approach. Presented August 14th 2012 at the SRI AIC Seminar Series, Menlo Park, CA
The document discusses recent developments at the W3C related to semantic technologies. It highlights several technologies that have been under development including RDFa, Linked Open Data, OWL 2, and SKOS. It provides examples of how the Linked Open Data project has led to billions of triples and millions of links between open datasets. Applications using this linked data are beginning to emerge for activities like bookmarking, exploring social graphs, and financial reporting.
TPDL2013 tutorial linked data for digital libraries 2013-10-22jodischneider
Tutorial on Linked Data for Digital Libraries, given by me, Uldis Bojars, and Nuno Lopes in Valletta, Malta at TPDL2013 on 2013-10-22.
http://tpdl2013.upatras.gr/tut-lddl.php
This half-day tutorial is aimed at academics and practitioners interested in creating and using Library Linked Data. Linked Data has been embraced as the way to bring complex information onto the Web, enabling discoverability while maintaining the richness of the original data. This tutorial will offer participants an overview of how digital libraries are already using Linked Data, followed by a more detailed exploration of how to publish, discover and consume Linked Data. The practical part of the tutorial will include hands-on exercises in working with Linked Data and will be based on two main case studies: (1) linked authority data and VIAF; (2) place name information as Linked Data.
For practitioners, this tutorial provides a greater understanding of what Linked Data is, and how to prepare digital library materials for conversion to Linked Data. For researchers, this tutorial updates the state of the art in digital libraries, while remaining accessible to those learning Linked
Data principles for the first time. For library and iSchool instructors, the tutorial provides a valuable introduction to an area of growing interest for information organization curricula. For digital library project managers, this tutorial provides a deeper understanding of the principles of Linked Data, which is needed for bespoke projects that involve data mapping and the reuse of existing metadata models.
The document discusses the benefits of using RDFa to embed metadata and semantic information directly into web pages. It explains that RDFa allows publishers to define their own vocabularies while still following a standard syntax, and that this embedded metadata can improve search engine results, power semantic applications, and help link open data on the web through RDF links between datasets. RDFa is presented as a way to distribute and interconnect data in a decentralized and open manner.
Publishing and Using Linked Open Data - Day 1 Richard Urban
This document provides an agenda and schedule for Monday's Linked Open Data class. The day includes introductions, sessions on introducing linked data and exploring use cases, breaks for discussion, and a concluding session on kicking off participant projects. Evening events include an outside lecture and networking social for graduate students.
Open data is a crucial prerequisite for inventing and disseminating the innovative practices needed for agricultural development. To be usable, data must not just be open in principle—i.e., covered by licenses that allow re-use. Data must also be published in a technical form that allows it to be integrated into a wide range of applications. The webinar will be of interest to any institution seeking ways to publish and curate data in the Linked Data cloud.
This webinar describes the technical solutions adopted by a widely diverse global network of agricultural research institutes for publishing research results. The talk focuses on AGRIS, a central and widely-used resource linking agricultural datasets for easy consumption, and AgriDrupal, an adaptation of the popular, open-source content management system Drupal optimized for producing and consuming linked datasets.
Agricultural research institutes in developing countries share many of the constraints faced by libraries and other documentation centers, and not just in developing countries: institutions are expected to expose their information on the Web in a re-usable form with shoestring budgets and with technical staff working in local languages and continually lured by higher-paying work in the private sector. Technical solutions must be easy to adopt and freely available.
There has been plenty of hype around the Semanic Web, but will we ever see the vision of intelligent agents working on our behalf? This talk introduces the concepts of the Semantic Web as envisioned by Tim Berners-Lee over 10 years ago and compares that vision to where we have come since then. It includes a discussion of implementations such as XML, RDF, OWL (web ontology language), and SPARQL. After reviewing the design principles and enabling technologies, I plan to show how these techniques can be implemented in WebGUI.
First Steps in Semantic Data Modelling and Search & Analytics in the CloudOntotext
This webinar will break the roadblocks that prevent many from reaping the benefits of heavyweight Semantic Technology in small scale projects. We will show you how to build Semantic Search & Analytics proof of concepts by using managed services in the Cloud.
This document provides an overview of linked data and the SPARQL query language. It defines linked data as a method of publishing structured data on the web so that it can be interlinked and queried. The key aspects covered include linked data principles of using URIs to identify things and including links to other related data. SPARQL is introduced as the query language for retrieving and manipulating linked data.
Web Ontologies: Lessons Learned from Conceptual Modeling at ScaleMartin Hepp
Ontologies are a key component of semantic systems of all kinds, including the Semantic Web vision and Linked Open Data initiatives. In this talk, I will summarize work towards a theory of the technical, economical, and cognitive aspects of ontologies in large, distributed settings, and present design patterns and a skeletton methodology for ontology engineering in this environment. The theoretical aspects will be combined by practical examples of challenges and solutions in the context of schema.org.
The Semantic Web – A Vision Come True, or Giving Up the Great Plan?Martin Hepp
The document discusses the current state and future of the Semantic Web and linked data initiatives. It notes several successes such as the Linked Open Data cloud and schemas like Schema.org and GoodRelations. However, it argues that the original vision of the Semantic Web, which aimed to allow computers to help process information by applying structured data standards at web scale, has not fully been realized. Schemas like Schema.org focus more on information extraction than direct data consumption. The document calls for challenging assumptions through empirical analysis rather than ideological debates.
Extending schema.org with GoodRelations and www.productontology.orgMartin Hepp
These are the slides from my short presentation at the schema.org workshop on September 21, 2011. They sketch how schema.org and GoodRelations can be used in combination for sending richer data from shop sites to search engines and browser extensions, helping businesses to articulate their value proposition as data.
Advertising with Linked Data in Web ContentMartin Hepp
Advertising with Linked Data in Web Content: From Semantic SEO to E-Commerce on the Web 3.0
Slides and audio from my talk given at the Knowledge Engineering Group of the University of Economics Prague.
http://keg.vse.cz/seminar.php?datetime=2011-04-06
The Semantic Web and its Impact on International WebsitesMartin Hepp
In this presentation, given at the International Search Summit 2010 in Londin, I discuss how rich data embedded inside Web pages via RDFa can be used to make the individual value proposition remain intact across the web - thus preventing consumers and price comparison engines from flattening your individual offer to the price alone.
Slides from my talk at the 3rd KRDB school on Trends in the Web of Data, September 18, Brixen-Bressanone, Italy.
http://www.inf.unibz.it/krdb/school/2010/
ISKO 2010: Linked Data in E-Commerce – The GoodRelations OntologyMartin Hepp
More than 50% of a developed nation's Gross Domestic Product is used for establishing and maintaining the exchange of goods and services, and a large share of that is consumed for the search for potential suppliers and consumers. A key variable that determines that effort is the specificity of the objects being exchanged, which is generally on the rise: We produce and consume much more specific objects than a decade ago.
In this talk, I will outline how Linked Data can be used to weave a giant graph of information about products, offers, stores, and related facts. This will reduce the effort for business matchmaking on a Web scale. Centerpiece of that graph is the GoodRelations ontology, a global schema for exposing such facts as Linked Data on the Web. GoodRelations is the second most popular conceptual schema on the Web of Data and one of the few examples of academic research in the field that has been adopted by several Fortune 500 companies, like BestBuy or Yahoo.
More information on GoodRelations is at http://purl.org/goodrelations/
ISKO2010: Linked Data in E-Commerce – The GoodRelations OntologyMartin Hepp
This document discusses Linked Data in e-commerce and the GoodRelations ontology. It provides an overview of the GoodRelations ontology, which was created to represent commerce data on the web in a structured way. It aims to reduce transaction costs and improve search by linking related data elements, such as products to product models, offers to stores, and companies to stores. The ontology has seen significant adoption by major businesses and supports over 16% of all triples. It provides a global schema for representing commerce data to enable queries, extraction and reuse across different sources on the web.
This document discusses implementing semantic SEO through GoodRelations vocabulary and RDFa markup on product pages for a major online retailer. It provides benefits like improved rendering on Yahoo and displaying price information in Google. Implementing requires adding 15-30 lines of RDFa markup per template with minimal increase to page size and load time. Resources for getting started include a snippet generator and Magento extension. Overall it is a straightforward way to gain SEO and search benefits with little downside.
SEO, RDFa, and GoodRelations: An Implementation by a Major Online RetailerMartin Hepp
This document discusses implementing semantic SEO through GoodRelations vocabulary and RDFa markup on product pages for a major online retailer. It provides benefits like improved rendering on Yahoo and displaying price information in Google. Implementing requires adding 15-30 lines of RDFa markup per template with minimal increase to page size and load time. Resources for getting started include a snippet generator and Magento extension. Overall it is a straightforward way to gain SEO and search benefits with little downside.
SEO, RDFa, and GoodRelations - An Implementation by a Major Online RetailerMartin Hepp
This document discusses implementing semantic SEO through GoodRelations vocabulary and RDFa markup on product pages for a major online retailer. It provides benefits like improved rendering on Yahoo and displaying price information in Google. Implementing requires adding 15-30 lines of RDFa markup per template with minimal increase to page size and load time. Resources for getting started include a snippet generator and Magento extension. Overall it is a straightforward way to gain SEO and search benefits with little downside.
Goodrelations Presentation from SemTech 2010Martin Hepp
Slides from my talk at the Semantic Technology Conference 2010 in the session
"Semantic Tools for More Profitable Online Commerce"
http://semtech2010.semanticuniverse.com/sessionPop.cfm?confid=42&proposalid=2930
In this presentation, I explain how the new Facebook Open Graph Protocol can be used by any business, and how it can be combined with the GoodRelations vocabulary for putting rich store, price, product, or service information directly into your pages.
More information: http://www.ebusiness-unibw.org/wiki/GoodRelationsQuickstart
GoodRelations & RDFa for Deep Comparison Shopping on a Web ScaleMartin Hepp
GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale: Can the Web of Data Reduce Price Competition and Increase Customer Satisfaction?
See http://purl.org/goodrelations/ for the official page.
These are my slides from the Zurich and Chicago Semantic Web Meet-up presentation.
This is part 1 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This is part 3 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
Web 3.0. für Spezialversender: Weniger Preiswettbewerb durch maschinengeeignete Produktbeschreibungen im WWW
Die gute Wettbewerbsposition vieler Versandhändler beruht darauf, dass sie eine große Vielfalt an sehr spezifischen Produkte überregional anbieten. Leider müssen sich potenzielle Kunden mit heutigen Suchmaschinen bei ihrer Suche viel zu früh auf sehr wenige Produktmodelle beschränken, die dann der Ausgangspunkt für intensiven Preisvergleich sind. Individuelle Stärken der Anbieter und individuelle Präferenzen der Kunden werden so nicht ausreichend berücksichtigt. Kunden entscheiden sich daher vorzeitig und auf Basis einer unvollständigen Informationslage für ein Modell und beachten dann nur noch den Preis.
In diesem Vortrag wird erklärt, wie man mit neuartiger Web-Technologie den Preiswettbewerb im Versandhandel reduzieren und die individuellen Stärken und Eigenschaften der Produkte mit weniger Verlust zum Kunden übermitteln kann. Dieser Ansatz mit dem Namen "GoodRelations" wurde von Prof. Hepp an der Universität der Bundeswehr in München entwickelt und ist heute Kern der eCommerce-Architektur von Yahoo. Gerade für Spezialversender bietet dies die Gelegenheit, neue Kunden zu gewinnen und die Marge zu steigern.
eCl@ss im Web: Mehr Kunden und bessere Stammdaten für jeden eCl@ss-AnwenderMartin Hepp
This talk summarizes how the Web of Linked Data and the GoodRelations/eClassOWL standards can be used to exchange structured product and offer information by embedding additional meta-data directly into corporate Web pages.
Product Variety, Consumer Preferences, and Web Technology: Can the Web of Dat...Martin Hepp
E-Commerce on the basis of current Web technology has created fierce competition with a strong focus on price. Despite a huge variety of offerings and diversity in the individual preferences of consumers, current Web search fosters a very early reduction of the search space to just a few commodity makes and models. As soon as this reduction has taken place, search is reduced to flat price comparison.
This is unfortunate for the manufacturers and vendors, because their individual value proposition for a particular customer may get lost in the course of communication over the Web, and it is unfortunate for the customer, because he/she may not get the most utility for the money based on her/his preference function. A key limitation is that consumers cannot search using a consolidated view on all alternative offers across the Web.
In this talk, I will (1) analyze the technical effects of products and services search on the Web that cause this mismatch between supply and demand, (2) evaluate how the GoodRelations vocabulary and the current Web of Data movement can improve the situation, (3) give a brief hands-on demonstration, and (4) sketch business models for the various market participants.
Current Web technology results in overly fierce price competition, because search engines force us to reduce our search space to early in the decision making process to just a few product models, on which we then do simplistic price comparison shopping. The presentation sketches how the GoodRelations Web of Data Schema at http://purl.org/goodrelations/ can reduce price competition and increase customer satisfaction.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok
In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/
HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar.
Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten.
In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich
- Zugriff auf die Konsole
- Auffinden und Interpretieren von Protokolldateien
- Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS)
- Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien
- Nutzung der Client Clocking-Funktion
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda
ISWC GoodRelations Tutorial Part 2
1. The Web of Data for E-Commerce in Brief
A Hands-on Introduction to the GoodRelations Ontology,
RDFa, and Yahoo! SearchMonkey
October 25, 2009
Westfields Conference Center near Washington, DC, USA
Martin Hepp
Universität der Bundeswehr München, Munich, Germany
Richard Cyganiak
Digital Enterprise Research Institute (DERI), Ireland
2. Logistics
08:30-10:30 Overview and Motivation: Why the Web of Data is Now 30’
Quick Review of Prerequisites 15’
The GoodRelations Ontology: E-Commerce on the Web of Data 75’
10:30-10:45 Coffee Break
10:45-12:30 RDFa: Bridging the Web of Documents with the Web of Data 45’
Expressing GoodRelations in RDFa: A Running Example 30’
GoodRelations – Advanced Topics 30’
12:30-13:30 Lunch Break
13:30-16:00 Hands-on Exercise: Annotating a Web Shop 60’
Querying the Web of Data for Offerings – SPARQL 15’
Querying the Web of Data – Exercises 15’
16:00-16:30 Coffee Break
16:30-18:00 Publishing Semantic Web Data: Make Your RDF Available 30’
Yahoo SearchMonkey and Yahoo BOSS 45’
Discussion, Conclusion, Feedback Round 15’
2
4. Learning Goals
In this part, we will
• make sure all participants have sufficient
knowledge of related topics,
and
• show how to install the Twinkle software.
25.10.2009 4
5. Prerequisites for the Tutorial
• Markup Languages • Tooling and
– XML, HTML, XHTML Infrastructure
• Semantic Web Basics – Editors
– URIs – Repositories and
Reasoners
– RDF
– Frameworks / APIs
– RDFS and OWL
• Linked Data
Principles
25.10.2009 5
6. Core Semantic Web Technology Pillars
• Global Identifiers: URIs for everything
• Data Model: RDF - A data model for exchanging conceptual graphs based
on triples
– Compatible with the design principles of the Web (especially with its distributed
nature)
– Triple: (Subject, Predicate, Object)
– Exchange syntax: RDF/XML, N3, RDFa etc.
• Ontology Languages: RDFS and OWL - formal languages that help
reduce ambiguity and codify implicit facts
– foo:human rdfs:subClassOf foo:mammal
• Query Language & Interface: SPARQL - standardized query language
and endpoint interface for RDF data
• LOD Principles: Best practices for keeping the current Web and the Web
of Data compatible
6
7. Global Identifiers: URIs for Everything
1. Make clear whether
you are referring to
something or its
representation.
URI1: Page
URI2-x: Data items
2. Distinct URIs for • Web page
distinct data items • Company
• Product
• Price information
• etc.
7
8. Creating URIs for Everything
• Web of Documents
– http://www.myshop.com/about.html
• Web of Linked Data
– http://www.myshop.com/about.html (Page)
– http://www.myshop.com/about.html#BusinessEntity
– http://www.myshop.com/about.html#Product
– http://www.myshop.com/about.html#Warranty
8
9. RDF vs. RDF/XML, N3/Turtle, RDFa
• RDF – Resource Description Framework
– Basically, the data model of representing
conceptual graphs in the form of triples
subject predicate object
<http://foo.org/joe> <http://vocab.at/likes> <http://foo.org/linda>.
<http://foo.org/joe> <http://vocab.at/name> “Joe Miller”.
25.10.2009 9
11. Turtle Syntax for RDF
http://www.dajobe.org/2004/01/turtle/
25.10.2009 11
12. RDFa = Complete RDF
N3/
Turtle
RDF/
RDFa
XML
This is not widely known!
25.10.2009 12
13. Simplified Process of Using the
Semantic Web
• Find or create ontology / vocabulary
– “Ontology Engineering”
• Create data expressed using that vocabulary
– “Ontology Population” / “Knowledge Base
Population” / “Annotating Data” / “RDFizing”
• Publish the data
• Query / reuse / combine the data
25.10.2009 13
16. Parsers, Repositories, Reasoners
Reasoner
RDF/XML
Explicit
Model
Query
N3 Parser
Implicit Model
XHTML
+RDFa Repository
25.10.2009 16
17. Frameworks, Libraries, and APIs
• Jena Semantic Web Framework: Java
framework for building Semantic Web
applications.
– http://jena.sourceforge.net/
• RDFLib: Python library for working with RDF
– http://www.rdflib.net/
• Redland RDF Libraries (aka librdf): C-based
library with APIs in Perl, Python, Tcl and Java.
– http://librdf.org
25.10.2009 17
18. Linked Data Principles
• Linked data principles, by Tim Berners-
Lee, ca. 2006
– Use URIs to identify things (anything, not just
documents)
– Use HTTP URIs – globally unique names, distributed
ownership – allows people to look up things
– Provide useful information in RDF – when someone
looks up a URI
– Include RDF links to other URIs – to enable
discovery of related information
18
20. Twinkle: A SPARQL Query Tool
http://www.ldodds.com/projects/twinkle/
25.10.2009 20
21. Twinkle: Installation
• Requires Java 1.5 or higher
• Download the distribution and unzip it into a new
directory:
– http://www.ldodds.com/projects/twinkle/twinkle-2.0-bin.zip
• Replace the file config.n3 in the "etc" subdirectory by the
file available at
– http://www.ebusiness-unibw.org/pubwiki/images/8/84/
Config.n3.txt
– Rename it to config.n3 after downloading
• Open a command prompt and execute the following:
– java -jar twinkle.jar
25.10.2009 21