ISWC GoodRelations Tutorial Part 1

transcript

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

About the Organizers

Martin Hepp

Professor, Head of Group

Universität der Bundeswehr München

Munich, Germany

mhepp@computer.org

http://www.heppnetz.de

Previous affiliations: Universität

Würzburg (Germany), Florida Gulf

Coast University, IBM Zurich Research Lab, DERI/STI

Innsbruck

Richard Cyganiak

PhD Researcher

Digital Enterprise Research Institute

(DERI), Galway, Ireland

richard.cyganiak@deri.org

http://www.deri.ie

Previous affiliations: FU Berlin,

Germany

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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.

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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’

Logistics

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/

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Resources: Tools

• RDF Validator (and Visualizer) http://www.w3.org/RDF/Validator/

• GoodRelations Annotator http://www.ebusiness-unibw.org/tools/goodrelations-annotator/

• PyRDFa http://www.w3.org/2007/08/pyRdfa/

• Twinkle http://www.ldodds.com/projects/twinkle/

Custom configuration file from Wiki

• RDF2dataRSS http://www.ebusiness-unibw.org/tools/rdf2datarss/

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Overview and Motivation: Why the

Web of Data is Now

Martin Hepp

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Limitations of the Web, 2009

Specificity vs. Keyword-based Search

• Synonyms

• Homonyms

• Multiple languages

• No parametric

search

No Unified View: Jumping Back and Forth

Across Data Silos

esults

We know the best hits only when done.

esults

Limited Ability to Reuse Data

The Web: A Bottleneck for Sharing

Product Data

Web of Data (“Semantic Web”)

E-Commerce on the Web of Data

Goal: A Unified View on Commerce

Data on the Web

Product Model

Master Data Shop

Offerings Auctions Spare Parts &

Consumables

Warranty

Delivery Payment

Retailers Manufacturers

Arbitrary Query

Extraction

and Reuse

On the Shoulders of Giants

A Unified View of Commerce Data

on the Web Martin Hepp,

mhepp@compu

ter org

Deep Comparison Shopping

18 Martin Hepp,

mhepp@compu

ter org

Search Engine Results

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!

Use Case 2: Product Model Data Reuse

Manufacturer

Structured Data on

Products and Services

Retailer / Web Shop

Structured Data on Products

and Services

World Wide WebWorld Wide Web

Product Specifications: Type of Product, Features etc.

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

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 explore

what this URI means.

4. Make clear whether you are referring to something or

its representation.

22 Martin Hepp,

mhepp@compu

ter org

its representation.

23 Martin Hepp,

mhepp@compu

ter org

its representation.

24 Martin Hepp,

mhepp@compu

ter org

Technical Effects & Working Assumption

• This will reduce the

computational

complexity of

processing,

combining, reusing

data on a Web scale

25 Martin Hepp,

mhepp@compu

ter org

Both Sides Can Help Build a Bridge

26 Martin Hepp,

mhepp@compu

ter org

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 content

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NOW and HERE: Yahoo & GoodRelations

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NOW and HERE: Google (Mock-up)

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NOW and HERE: OpenLink Virtuoso Spongers

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GoodRelations #2 of all Web Ontologies

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…and this does not yet include the > 10 Mio. offers

from Amazon and eBay!

GoodRelations #2 of all Web Ontologies

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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 basis

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Thank you.

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ISWC GoodRelations Tutorial Part 1

Technology