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Semantic Web-based E-Commerce: The GoodRelations Ontology

by Martin Hepp on Jun 04, 2009

17,069 views

Semantic Web-based E-Commerce: The GoodRelations Ontology

Semantic Web-based E-Commerce: The GoodRelations Ontology
Presentation at the Semantic Technology Conference, June 15, 2009

http://purl.org/goodrelations/

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Karim Kix Is it possible to download thee ppt. It's brilliant :) 2 months ago
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Ranganath Iyengar It will be gr8 if this is downloadable. Is there no voice along with it. Its a very good presentation, and can be even better understood with accompanying audio 2 years ago
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rgesit prasastialam, Software developer at kabarmadura.com, prasastialam.com, detik.com may i download this presentation for prepare my thesis
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Semantic Web-based E-Commerce: The GoodRelations Ontology Presentation Transcript

Semantic Web-based E-Commerce: The GoodRelations Ontology Semantic Technology Conference June 15, 2009 Martin Hepp http://www.unibw.de/ebusiness/ http://purl.org/goodrelations/
Part I: E-Commerce on the Web
History Lesson: Search for Suppliers 1992: 1 Week 2009: 1 Minute Martin Hepp, 3 mhepp@computer.org
But: Search for Suppliers, 2009 Martin Hepp, 4 mhepp@computer.org
Limitations of the Web, 2009
Specificity vs. Keyword-based Search • Synonyms • Homonyms • Multiple languages • No parametric search Martin Hepp, 6 mhepp@computer.org
No Unified View: Jumping Back and Forth Across Data Silos Site Page Page Search Engine Results Search Engine Results 1 1 2 Search Engine Results Search Engine Results Page Page 3 4 Site Page 2 5 Site Page Page Page 3 6 7 8 Martin Hepp, 7 mhepp@computer.org
We know the best hits only when done. Site Page Page 1 1 2 Search Engine Results Page Page 3 4 Site Page 2 5 Site Page Page Page 3 6 7 8 Martin Hepp, 8 mhepp@computer.org
Limited Ability to Reuse Data Martin Hepp, 9 mhepp@computer.org
The Web: A Bottleneck for Sharing Product Data Martin Hepp, 10 mhepp@computer.org
Part II: E-Commerce based on a Web of Linked Data: The Vision
Web of Linked Data (“Semantic Web”) Martin Hepp, 12 mhepp@computer.org
Core Web of Linked Data Technology Pillars • URIs for everything • RDF: A data model for exchanging conceptual graphs based on triples – Triple: (Subject, Predicate, Object) – Exchange syntax: RDF/XML, N3, etc. • RDFS and OWL: Formal languages for that help reduce ambiguity and codify implicit facts – foo:human rdfs:subClassOf foo:mammal • 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 Martin Hepp, mhepp@computer.org 13
E-Commerce on the Web of Linked Data Martin Hepp, 14 mhepp@computer.org
Goal: A Unified View on Commerce Data on the Web Extraction Arbitrary Query and Reuse Manufacturers Retailers Payment Delivery Product Model Warranty Master Data Shop Spare Parts & Offerings Auctions Consumables Martin Hepp, 15 mhepp@computer.org
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! Martin Hepp, 16 mhepp@computer.org
Use Case 2: Product Model Data Reuse (PIM) World Wide Web World Wide Web Manufacturer Retailer / Web Shop Structured Structured Data on Data on Products Products and Product Speciﬁcations: and Services Type of Product, Features etc. Services Martin Hepp, 17 mhepp@computer.org
Use Case 3: Fine-grained Affiliate Marketing Offers of computer add-ons that have an USB interface Screenshot from http://en.wikipedia.org/wiki/USB Martin Hepp, 18 mhepp@computer.org
Part III: How? The GoodRelations Vocabulary
What Do We Need? • Vocabularies • Tools – Product or service • Applications types – Businesses – Offerings • Data Sets – Product model data – Businesses, contact details, opening hours – Offering data Martin Hepp, 20 mhepp@computer.org
The GoodRelations Vocabulary • A universal and free Web vocabulary for adding product and offering data to your Web pages. • Compatible with all relevant W3C standards and recommendations – RDF – OWL http://purl.org/goodrelations/ Martin Hepp, 21 mhepp@computer.org
GoodRelations: Scope Martin Hepp, 22 mhepp@computer.org
GoodRelations Design Principles • Keep simple things Lightweight Heavyweight simple and make Web of Data Web of Data complex things possible LOD OWL DL • Cater for LOD and OWL RDF + a little bit DL worlds • Academically sound • Industry-strength engineering • Practically relevant Martin Hepp, 23 mhepp@computer.org
GoodRelations: License • Permanent, royalty-free access for commercial and non-commercial use. http://purl.org/goodrelations/ Martin Hepp, 24 mhepp@computer.org
Albert Einstein on Ontology Engineering quot;Make everything as simple as possible, but not simpler.“ Albert Einstein Martin Hepp, 25 mhepp@computer.org
What Makes for A Good Ontology? • Main Contribution: Avoiding reclassification of phenomena – Allows for cognitive and computer processing at the level of category membership • Good ontologies provide universally valid yet specific categories • Category membership should remain valid – Over time – Between individuals – Across contexts Martin Hepp, 26 mhepp@computer.org
Data, Standards, Ontologies Martin Hepp, 27 mhepp@computer.org
Basic Structure of Offers Object or Agent 1 Promise Happening Compensation Transfer of Rights Agent 2 28
GoodRelations: One Single Schema for A Consolidated View on E-Commerce Data Extraction Arbitrary Query and Reuse Manufacturers Retailers Payment Delivery Product Model Warranty Master Data Shop Spare Parts & Offerings Auctions Consumables Martin Hepp, 29 mhepp@computer.org
On the Shoulders of Giants A Unified View of Data on the Web Martin Hepp, 30 mhepp@computer.org
Minimal Example Martin Hepp, 31 mhepp@computer.org
The Minimal Scenario • Scope – Business entity – Points-of-sale – Opening hours – Payment options • Suitable for – Every business – E-commerce and brick-and-mortar Martin Hepp, 32 mhepp@computer.org
The Simple Scenario • Scope: Minimal scenario plus – Range of products or services – Business functions – Eligible regions or customer types – Delivery options • Suitable for – Any business: E-Commerce and brick-and-mortar – Specific products or services Martin Hepp, 33 mhepp@computer.org
The Comprehensive Scenario • Scope: Simple scenario plus – Individual products or services – Product features – Pricing, rebates, etc. – Availability • Suitable for – Any business: E-commerce and brick-and-mortar – Specific products or services – Structured product database Martin Hepp, 34 mhepp@computer.org
Product Model Data Scenario • Scope – Individual product models – Quantitative and qualitative features • Suitable for – Manufacturers of commodities Martin Hepp, 35 mhepp@computer.org
Part IV: Trends Data Sets & Industry Pick-up
Others Do Care: Pick-up in Industry • Smart Information Systems • ebSemantics • Yahoo! SearchMonkey • Virtuoso Sponger Cartridges for Amazon, eBay, and others expected • Major German mail order companies • etc. Martin Hepp, 37 mhepp@computer.org
Ping The Semantic Web, May 25 Martin Hepp, 38 mhepp@computer.org
Yahoo Enhanced by SearchMonkey Martin Hepp, 39 mhepp@computer.org
Yahoo Enhanced SearchMonkey Martin Hepp, 40 mhepp@computer.org
GoodRelations Page Views Martin Hepp, 41 mhepp@computer.org
Linked Open Commerce Dataspace ...forthcoming Martin Hepp, 42 mhepp@computer.org
Part V: Tools and Resources
GoodRelations User‘s Guide („Primer“) http://www.heppnetz.de/projects/goodrelations/primer/ Martin Hepp, 44 mhepp@computer.org
GoodRelations Annotator http://www.ebusiness-unibw.org/tools/goodrelations-annotator/ Martin Hepp, 45 mhepp@computer.org
GoodRelations Validator http://www.ebusiness-unibw.org/tools/goodrelations-validator/ Martin Hepp, 46 mhepp@computer.org
RDF2dataRSS Tool http://www.ebusiness-unibw.org/tools/rdf2datarss/ Martin Hepp, 47 mhepp@computer.org
osCommerce Extension http://code.google.com/p/goodrelations-for-oscommerce/ Martin Hepp, 48 mhepp@computer.org
Joomla/VirtueMart Extension http://code.google.com/p/goodrelations-for-joomla/ Martin Hepp, 49 mhepp@computer.org
Part VI: Recommendations What any business should do... ...immediately!
Why Should I Bother? • Web Shops: Better visibility in latest generation search engines (e.g. Yahoo) – Same holds for any business that has a Web page, from A as in Amusement Park to Z as in Zoo. • Manufacturers: Allow your retailers to reuse product feature data with minimal overhead at both ends. • Software Developers: Help your customers to use and generate open, linked Web data. It’s easy! Martin Hepp, 51 mhepp@computer.org
What Should I Do? • Web Shops: Create a GoodRelations data dump of your range of offers (rather simple) • Vendors of Web Shop Software: Create GoodRelations import and export interfaces (we can help you with that) • Every Business: Ask your webmaster to create at least a basic description of your range of products or services • Entrepreneurs: Invent new business models based on GoodRelations data Martin Hepp, 52 mhepp@computer.org
Step-by-Step (1) • Data Sources • Data Delivery Options – Form-based data entry – RDFa: Embedding meta- – RDBMS data in XHTML – XML, e.g. BMEcat – RDF/XML: Extra file – CSV – dataRSS: Yahoo feed – Google CSV, RSS 1.0, format RSS 2.0 • Amount of Detail and Data Model – What shall be included? – How shall the type of products be represented? Martin Hepp, 53 mhepp@computer.org
Step-by-Step (2) • Update Mechanism & Data Management – PHP on demand – Script-based data dump • Publishing the Data – Server configuration – Notifying Semantic Web crawlers, Yahoo, … – Semantic Sitemaps • Applications Martin Hepp, 54 mhepp@computer.org
Part VII: The Sky Is the Limit Semantics in Affiliate Models, Serendipity, Matchmaking
Thank you! http://purl.org/goodrelations/ Prof. Dr. Martin Hepp Chair of General Management and E-Business Universitaet der Bundeswehr University 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 Martin Hepp, 56 mhepp@computer.org