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).
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 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 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
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.
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 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 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 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
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.
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.
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.
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!).
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/
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.
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 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 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.
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.
Gain Super Powers in Data Science: Relationship Discovery Across Public DataOntotext
The document summarizes a webinar on relationship discovery across public data. It outlines the webinar agenda which includes use cases of relation discovery and media monitoring. It also describes examples of relationship discovery from datasets like the Panama Papers and media monitoring examples. It discusses linking news to knowledge graphs and semantic media monitoring. Finally, it covers mapping additional datasets to DBPedia to facilitate relationship discovery.
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.
Online Collections Crawlability for Libraries, Archives, and Museumsmherbison
The Goal is Crawlability.
Allow and encourage webcrawlers to access everything on your website that you want users to be able to find.
(1) If webcrawlers can’t get to your stuff...
(2) Search engines won’t index your stuff...
(3) Your stuff won’t turn up in users’ web searches...
(4) Users won’t find your stuff!
This document discusses graph databases and the graph database Neo4j. It provides an introduction to NoSQL databases and graph theory, including graph algorithms. It outlines some common uses of graph databases such as social networking, recommendations, and identity and access management. It also provides examples of Cypher queries that can be used with Neo4j to find and create nodes and relationships.
The document summarizes the first meeting of the Geekup Sheffield Semantic Web Series. It introduces the semantic web and examples like FOAF (Friend of a Friend) to represent personal data and connections between people in a machine-readable way. It encourages participants to create their own FOAF profile using an online tool and share it by uploading it to their blog or other website. The next meeting will cover topics like RDF, RDFa, triple stores, inference and merging graphs.
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
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
Preparing for a Website Redesign | SEO DesignRaven Tools
The document provides tips for properly preparing for a website redesign by focusing on two key ingredients: preparation and communication. It recommends analyzing current site performance and structure, prioritizing goals like conversion rates and social interaction, user testing designs before and after, and benchmarking metrics like queries, engagement, and conversions to guide structural changes. The overall message is that redesigns do not need to be destructive if properly planned and informed by data analysis.
Neo4j GraphTalks Oslo - Next Generation Solutions built on NeoejNeo4j
The document discusses next generation solutions built on Neo4j graph database. It provides an agenda for the talk including solutions using Neo4j, recommendations, GDPR, and conclusions. It discusses how graph-based solutions with Neo4j enable flexibility, intuitiveness, and high performance for connected data scenarios. It also provides examples of using Neo4j for recommendation engines in retail, logistics, fraud detection and more. Case studies describe how Walmart and eBay improved recommendations and routing with Neo4j.
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.
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!).
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/
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.
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 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 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.
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.
Gain Super Powers in Data Science: Relationship Discovery Across Public DataOntotext
The document summarizes a webinar on relationship discovery across public data. It outlines the webinar agenda which includes use cases of relation discovery and media monitoring. It also describes examples of relationship discovery from datasets like the Panama Papers and media monitoring examples. It discusses linking news to knowledge graphs and semantic media monitoring. Finally, it covers mapping additional datasets to DBPedia to facilitate relationship discovery.
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.
Online Collections Crawlability for Libraries, Archives, and Museumsmherbison
The Goal is Crawlability.
Allow and encourage webcrawlers to access everything on your website that you want users to be able to find.
(1) If webcrawlers can’t get to your stuff...
(2) Search engines won’t index your stuff...
(3) Your stuff won’t turn up in users’ web searches...
(4) Users won’t find your stuff!
This document discusses graph databases and the graph database Neo4j. It provides an introduction to NoSQL databases and graph theory, including graph algorithms. It outlines some common uses of graph databases such as social networking, recommendations, and identity and access management. It also provides examples of Cypher queries that can be used with Neo4j to find and create nodes and relationships.
The document summarizes the first meeting of the Geekup Sheffield Semantic Web Series. It introduces the semantic web and examples like FOAF (Friend of a Friend) to represent personal data and connections between people in a machine-readable way. It encourages participants to create their own FOAF profile using an online tool and share it by uploading it to their blog or other website. The next meeting will cover topics like RDF, RDFa, triple stores, inference and merging graphs.
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
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
Preparing for a Website Redesign | SEO DesignRaven Tools
The document provides tips for properly preparing for a website redesign by focusing on two key ingredients: preparation and communication. It recommends analyzing current site performance and structure, prioritizing goals like conversion rates and social interaction, user testing designs before and after, and benchmarking metrics like queries, engagement, and conversions to guide structural changes. The overall message is that redesigns do not need to be destructive if properly planned and informed by data analysis.
Neo4j GraphTalks Oslo - Next Generation Solutions built on NeoejNeo4j
The document discusses next generation solutions built on Neo4j graph database. It provides an agenda for the talk including solutions using Neo4j, recommendations, GDPR, and conclusions. It discusses how graph-based solutions with Neo4j enable flexibility, intuitiveness, and high performance for connected data scenarios. It also provides examples of using Neo4j for recommendation engines in retail, logistics, fraud detection and more. Case studies describe how Walmart and eBay improved recommendations and routing with Neo4j.
Transforming Software Architecture for the 21st Century (September 2009)Dion Hinchcliffe
Evolving an important theme I've been working on and presenting all year, this new deck summarizes how enterprise architecture and large scale technology-based business solutions must transform to be more effective in the 21st century.
Contains material on a hypothesis for what's wrong with today's EA as well as potential solutions of merit such as emergent architecture, WOA, enterprise REST, open supply chains (APIs), mashups, and other models.
Presented this week in Oslo Norway to Bouvet's enterprise architecture council.
A Step-by-Step Guide to Website RedesignJoey Barker
The document contains information about an analysis of a company's website and digital marketing efforts. It includes metrics like unique visitors, bounce rate, and domain authority. There are recommendations for improving SEO, lead generation, and increasing new business. Competitor analyses are provided. The summary identifies developing targeted personas, optimizing for search, defining calls-to-action, and an ongoing content strategy.
Big data comes from a variety of sources and in different formats. It is characterized by its volume, velocity, and variety. Organizations are using big data to gain business insights through analytics. This allows them to increase revenue, reduce costs, optimize processes, and manage risks. Examples of big data uses include marketing campaign analysis, customer segmentation, and fraud detection. Companies must overcome technological and organizational challenges to successfully leverage big data.
Google announced in May 2009 that it would parse microformats like hCard, hReview, and hProduct from webpages and display structured information from those pages in search results. This included information about people, reviews, products, businesses, and more. Over time, Google expanded support for additional metadata standards and formats. In 2011, Google, Bing, and Yahoo introduced Schema.org as a shared vocabulary for annotating pages with microdata, covering many domains. While Schema.org and microdata are useful for businesses, their long term success is still unclear as other formats like RDFa remain viable options.
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.
The document discusses inbound demand generation strategies for companies with 0 to 2,500 customers and no cold calls. It emphasizes using inbound tactics like blogging, SEO, and social media to drive visitors and leads. It also stresses the importance of sales and marketing alignment through shared metrics and goals. Key recommendations include using data to optimize lead quality, determine optimal sales contact attempts, and identify areas for coaching sales representatives.
How Financial Services Organizations Use MongoDBMongoDB
MongoDB is the alternative that allows you to efficiently create and consume data, rapidly and securely, no matter how it is structured across channels and products, and makes it easy to aggregate data from multiple systems, while lowering TCO and delivering applications faster.
Learn how Financial Services Organizations are Using MongoDB with this presentation.
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.
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.
Data analytics and SEO to grow your international business | John Caldwell | ...Enterprise Ireland
Here are some key things to know about WordPress Multisite:
- WordPress Multisite allows you to manage multiple WordPress sites from a single WordPress installation and dashboard.
- Each individual site can have its own domain/subdomain (e.g. site1.example.com, site2.example.com) or subdirectory (e.g. example.com/site1, example.com/site2).
- Sites can share themes, plugins and other site-wide settings. Or each site can have its own individual settings.
- There is a main "super administrator" account that has access to manage all sites from the network admin dashboard.
- Individual sites can have their own
Aziksa hadoop for buisness users2 santosh jhaData Con LA
This document discusses big data, including its drivers, characteristics, use cases across different industries, and lessons learned. It provides examples of companies like Etsy, Macy's, Canadian Pacific, and Salesforce that are using big data to gain insights, increase revenues, reduce costs and improve customer experiences. Big data is being used across industries like financial services, healthcare, manufacturing, and media/entertainment for applications such as customer profiling, fraud detection, operations optimization, and dynamic pricing. While big data projects show strong financial benefits, the document cautions that not all projects are well-structured and Hadoop alone is not sufficient to meet all business analysis needs.
Welcome to big data use case course. In this course we will talk about what is big data? Who are using it and at the end we will share the lessons learnt from the early adopters. Big Data is an umbrella term used to refer the technology behind collecting and analyzing large volume of data at a fast speed. In last few years, number of devices and services customers use, have increased multi fold. As customers are using more of every thing, they are creating more data. By inter connecting these data, you can know your customer better and provide a better service. Big Data helps you in storing and connecting these data.
Agile Mumbai 2022 - Kartik Dhokaai | AI Power SearchAgileNetwork
The document discusses AI powered search and its benefits over traditional search methods. It describes how AI powered search uses natural language processing and machine learning techniques like semantic annotations and text analysis to better understand user queries and return more relevant results. The document outlines key benefits like increased customer retention, sales, and conversion rates. It also discusses challenges in improving relevance for AI search, such as dealing with omnichannel contexts and unpredictable customer behavior.
Power Up Competitive Price Intelligence with Web DataConnotate
Unprecedented price transparency has shifted the balance of power to the consumer, compressing margins and shattering the strongholds of premium brands.
Similar a Web Site Visibility in the Giant Graph of Commerce Data (20)
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.
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.
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
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
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 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.
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.
Semantic Web-based E-Commerce: The GoodRelations OntologyMartin Hepp
Semantic Web-based E-Commerce: The GoodRelations Ontology
Presentation at the Semantic Technology Conference, June 15, 2009
http://purl.org/goodrelations/
myOntology: Community-driven Vocabulary Design and Maintenance for E-CommerceMartin Hepp
The myOntology platform is a prototype for creating and maintaining Web vocabularies with minimal entry barriers for contributing domain experts. In this brief talk, I will summarize the key design paradigms and target applications, and demonstrate the current version.
A Short Introduction to Semantic Web-based E-Commerce: The GoodRelations Voca...Martin Hepp
In this slidecast, I will give a brief overview of how the next generation of Web technology, known as the "Web of Data" or the Semantic Web will improve our e-commerce shopping experience. In particular, I will explain how the Web of Data - will allow for more precise search for suppliers for our particular needs and - how manufacturers can support retailers in presenting their products including all distinct features.
For more information, see http://purl.org/goodrelations
The GoodRelations Ontology: Making Semantic Web-based E-Commerce a RealityMartin Hepp
A promising application domain for Semantic Web technology is the annotation of products and services offerings on the Web so that consumers and enterprises can search for suitable suppliers using products and services ontologies. While there has been substantial progress in developing ontologies for types of products and services, namely eClassOWL, this alone does not provide the representational means required for e-commerce on the Semantic Web. Particularly missing is an ontology that allows describing the relationships between (1) Web resources, (2) offerings made by means of those Web resources, (3) legal entities, (4) prices, (5) terms and conditions, and (6) the aforementioned ontologies for products and services. (1NDN)
In the talk, I will explain the need and potential of the GoodRelations ontology, introduce its key conceptual elements, highlight several lessons learned, and summarize design decisions with respect to to modeling approaches and the appropriate language fragment, which may be relevant for other ontology projects, too.
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Web Site Visibility in the Giant Graph of Commerce Data
1. GoodRelations & RDFa:
Site Visibility in the Giant Graph of
Commerce Data
Dr. Martin Hepp
Professor, Head of Group
Universität der Bundeswehr München, Germany
2. No Unified View: Jumping Back
and Forth Across Data Silos
Site Page Page
Search Engine Results
1 1 2
Search Engine Results
Search Engine Results
Search Engine Results
Page Page
3 4
Site Page
2 5
Site Page Page Page
3 6 7 8
3. Today: Loss of Variety and Detail
Many Different Variety in
Products Preferences
Web Search
Manufacturers & Consumers
Retailers
5. GoodRelations: A Unified View
on Commerce Data on the Web
Extraction
and Reuse
Arbitrary Query
Manufacturers
Retailers
Payment
Delivery
Product Model Warranty
Master Data
Auctions
8. Key Challenge for Site Owners
Add Rich Meta-Data Link to Useful Data
• Price • Manufacturer
• Product Features • Related Products
• Payment Options • Reviews
• Stores
• Opening Hours
Site Visibility in the
Giant Graph of Commerce Data
9. Impact on SEO
Traditional GoodRelations & RDFa
• Becoming #1 for • Maximizing site
broad queries visibility for specific
– “Restaurant Chicago” searches
• Engine-specific – Product features
– Location
• Engine-neutral
10. Multi-hub Affiliate Marketing
• Rewarding multiple affiliates who contribute to closing a
deal
• Examples
– Translations
– Better rich meta-data
Original Variant 1 Variant 2
20. Thank you!
Prof. Dr. Martin Hepp
Chair of General Management and E-Business
Universitaet der Bundeswehr Muenchen
Werner-Heisenberg-Weg 39
D-85579 Neubiberg, Germany
Phone: +49 89 6004-4217
Fax: +49 89 6004-4620
http://www.unibw.de/ebusiness/
http://purl.org/goodrelations/
mhepp@computer.org