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GoodRelations Tutorial Part 1

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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 alsohttp://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
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  • 1. The Web of Data for E-Commerce in BriefA Hands-on Introduction to the GoodRelations Ontology,RDFa, and Yahoo! SearchMonkey October 25, 2009 Westfields Conference Center near Washington, DC, USAMartin Hepp Universitt der Bundeswehr Mnchen, Munich, Germany Richard Cyganiak Digital Enterprise Research Institute (DERI), Ireland

2. About the OrganizersMartin Hepp Richard Cyganiak Professor, Head of GroupPhD Researcher Universitt der Bundeswehr MnchenDigital Enterprise Research Institute Munich, Germany(DERI), Galway, Ireland [email protected]@deri.org http://www.heppnetz.dehttp://www.deri.iePrevious affiliations: UniversittPrevious affiliations: FU Berlin,Wrzburg (Germany), Florida GulfGermany Coast University, IBM Zurich Research Lab, DERI/STI Innsbruck25.10.20092 3. Learning Goals Participants will learn to use the GoodRelations conceptual structures and the RDFa syntax to augment static and dynamic Web sites by the various relevant details of a commercial Web presence; RDFa modeling patterns for more complex RDF structures; to publish data on the Semantic Web and make it available for indexing services, repositories, Yahoo SearchMonkey and applications; to query the Web of Data using SPARQL, and the development of simple Yahoo SearchMonkey and Yahoo BOSS applications. 25.10.20093 4. 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 4 5. Resources: Information Wiki page http://tr.im/srGx http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009 GoodRelations Primer http://www.heppnetz.de/projects/goodrelations/primer/ GoodRelations Documentation http://purl.org/goodrelations/v1 RDFa http://www.w3.org/TR/2008/REC-rdfa-syntax-20081014/ SPARQL http://www.w3.org/TR/rdf-sparql-query/ Yahoo SearchMonkey http://developer.yahoo.com/searchmonkey/smguide/ 25.10.2009 5 6. Resources: Tools RDF Validator (and Visualizer)http://www.w3.org/RDF/Validator/ GoodRelations Annotatorhttp://www.ebusiness-unibw.org/tools/goodrelations-annotator/ PyRDFahttp://www.w3.org/2007/08/pyRdfa/ Twinklehttp://www.ldodds.com/projects/twinkle/ Custom configuration file from Wiki RDF2dataRSShttp://www.ebusiness-unibw.org/tools/rdf2datarss/25.10.2009 6 7. Overview and Motivation: Why theWeb of Data is NowMartin Hepp 25.10.2009 7 8. Limitations of the Web, 2009 9. Specificity vs. Keyword-based Search Synonyms Homonyms Multiple languages No parametric search9 10. No Unified View: Jumping Back and ForthAcross Data SilosSite PagePageSearch Engine Results Search Engine Results11 2 Search Engine ResultsSearch Engine ResultsPagePage 3 4 Site Page 25Site PagePage Page 36 78 10 11. We know the best hits only when done. Site PagePage11 2 Search Engine ResultsPagePage3 4Site Page25 Site PagePage Page36 7811 12. Limited Ability to Reuse Data 12 13. The Web: A Bottleneck for SharingProduct Data 13 14. Web of Data (Semantic Web)14 15. E-Commerce on the Web of Data 15 16. Goal: A Unified View on CommerceData on the Web Extraction Arbitrary Query and Reuse ManufacturersRetailers PaymentDelivery Product Model WarrantyMaster Data ShopSpare Parts & Offerings Auctions Consumables16 17. On the Shoulders of Giants A Unified View of Commerce Dataon the Web 17 Martin Hepp, [email protected] 18. Deep Comparison ShoppingSearch Engine ResultsSiteSiteSite 3 1 2PagePagePage 6 5 1Page Page 73Page 2Page Page 84 18 Martin Hepp, [email protected] 19. Use Case 1: Product Search Find all MP3 players that have a USB interface and a color display, and sort them by weight (lightest first). ...on a Web Scale! 19 20. Use Case 2: Product Model Data ReuseWorld Wide Web World Wide WebManufacturer Retailer / Web ShopStructuredStructured Data on Data on Products Products and Product Specications: and ServicesType of Product, Features etc. Services 20 21. Use Case 3: Fine-grained Affiliate MarketingOffers of computeradd-ons that have an USBinterfaceScreenshot from http://en.wikipedia.org/wiki/USB21 22. The Web of Linked Data, Essentially: 1. Cluster Web links by what they mean 2. Use URIs to indicate the type of links 3. Use HTTP URIs so that it is quick and easy to explorewhat this URI means. 4. Make clear whether you are referring to something orits representation. 22 Martin Hepp, [email protected] 23. The Web of Linked Data, Essentially: 1. Cluster Web links by what they mean 2. Use URIs to indicate the type of links 3. Use HTTP URIs so that it is quick and easy to explorewhat this URI means. 4. Make clear whether you are referring to something orits representation. 23 Martin Hepp, [email protected] 24. The Web of Linked Data, Essentially: 1. Cluster Web links by what they mean 2. Use URIs to indicate the type of links 3. Use HTTP URIs so that it is quick and easy to explorewhat this URI means. 4. Make clear whether you are referring to something orits representation. 24 Martin Hepp, [email protected] 25. Technical Effects & Working Assumption This will reduce thecomputationalcomplexity ofprocessing,combining, reusingdata on a Web scale 25 Martin Hepp, [email protected] 26. Both Sides Can Help Build a Bridge26 Martin Hepp, [email protected] 27. The Web of Linked Data is NOW and HERE RDFa has become a W3C Recommendation HTML5+RDFa Specification well underway, too Yahoo SearchMonkey and BOSS Google adopts RDFa GoodRelations ontology SPARQL Query language and endpoint interface Scalable, commercial repositories Linked Data Guidelines: Best Practices for co- existence of the Web of Data and existing Web content25.10.200927 28. NOW and HERE: Yahoo & GoodRelations 25.10.200928 29. NOW and HERE: Google (Mock-up) 25.10.2009 29 30. NOW and HERE: OpenLink Virtuoso Spongers 25.10.2009 30 31. GoodRelations #2 of all Web Ontologiesand this does not yet include the > 10 Mio. offersfrom Amazon and eBay!25.10.2009 31 32. GoodRelations #2 of all Web Ontologies 25.10.200932 33. NOW and HERE: BestBuy Details on all 1000+ stores in the US using GoodRelations http://stores.bestbuy.com/sitemap.xml http://lod.openlinksw.com/sparql Full Catalog: >432,000 item descriptions http://products.semweb.bestbuy.com/sitemap.xml updated on a daily basis25.10.200933 34. Thank you. 25.10.200934

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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
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