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GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

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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.
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GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale Can the Web of Data Reduce Price Competition and Increase Customer Satisfaction? Semantic Web Meetup Chicago December 7, 2009, Chicago, IL, USA Prof. Dr. Martin Hepp http://www.unibw.de/ebusiness/
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Page 1: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations & RDFa for Deep

Comparison Shopping on a Web Scale

Can the Web of Data Reduce Price Competition

and Increase Customer Satisfaction?

Semantic Web Meetup Chicago

December 7, 2009,

Chicago, IL, USA

Prof. Dr. Martin Hepp http://www.unibw.de/ebusiness/

Page 2: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

http://purl.org/goodrelations/

Twitter: mfhepp

Skype: mfhepp

2 Martin Hepp,

[email protected]

Page 3: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations: A Unified View on

Commerce Data on the Web

3

Product Model

Master Data Shop

Offerings Auctions Spare Parts &

Consumables

Warranty

Delivery Payment

Retailers Manufacturers

Arbitrary Query

Extraction

and Reuse

Martin Hepp,

[email protected]

Page 4: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Part I: Diversity in Markets

The specificity of exchanged

goods has kept on growing...

Page 5: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Specificity

How much you loose when you can‘t

use a good for what it was designed.

5 Martin Hepp,

[email protected]

Page 6: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Growth in Specificity

Reason # 1: Division of Labor

6 Martin Hepp,

[email protected]

Page 7: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Growth in Specificity

Reason # 2: Technical Advancement

and Innovation

7 Martin Hepp,

[email protected]

Page 8: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Growth in Specificity

Reason # 3: Logistics

Temporal Constraints etc.

8 Martin Hepp,

[email protected]

Page 9: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Growth in Specificity

Reason # 4: Wealth

Abraham H. Maslow (1908-1970)

A Theory of Human Motivation (1943)

9 Martin Hepp,

[email protected]

Page 10: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Examples

10 Martin Hepp,

[email protected]

Page 11: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Examples

11 Martin Hepp,

[email protected]

Page 12: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Examples

12 Martin Hepp,

[email protected]

Page 13: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Specificity Increases the

Search Space

13 Martin Hepp,

[email protected]

Page 14: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Multi-Dimensional Trade-Off Problems

• Product Features

• Price

• Services

• Logistics

• Business Partners

• Etc.

14 Martin Hepp,

[email protected]

Page 15: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Part II: E-Commerce on the Web

Page 16: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Search for Suppliers, 2009

16 Martin Hepp,

[email protected]

Page 17: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Limitations of the Web, 2009

Page 18: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

No Unified View: Jumping Back and Forth

Across Data Silos

18

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Searc

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ine R

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lts

Martin Hepp,

[email protected]

Page 19: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

We know the best hits only when done.

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Martin Hepp,

[email protected]

Page 20: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Specificity vs. Keyword-based Search

• Synonyms

• Homonyms

• Multiple languages

• No parametric

search

20 Martin Hepp,

[email protected]

Page 21: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Limited Ability to Reuse Data

21 Martin Hepp,

[email protected]

Page 22: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

The Web: A Bottleneck for Sharing

Product Data

22 Martin Hepp,

[email protected]

Page 23: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Challenge: Web-wide 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!

23 Martin Hepp,

[email protected]

Page 24: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Today: Loss of Variety and Detail

24 Martin Hepp,

[email protected]

Many Different

Products

Variety in

Preferences

Manufacturers &

Retailers Consumers

Web Search

Page 25: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

What’s the

Consequence?

25 Martin Hepp,

[email protected]

Page 26: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Effect: Overly Price Competition

26 Martin Hepp,

[email protected]

Only 1 – 2 Product Models Considered

Comparison Shopping on the Small Subset

Page 27: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

This will change soon.

Actually, very soon.

Page 28: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Deep Comparison Shopping

28 Martin Hepp,

[email protected]

Site

1

Site

2

Site

3

Page

1

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2

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3

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5

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7

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Search Engine Results

Page 29: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Part III: E-Commerce on the Web of

Linked Data

Page 30: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

E-Commerce on the Web of Linked Data

30 Martin Hepp,

[email protected]

Page 31: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations Principle: Small Data

Packets Inside Your Page

31 Martin Hepp,

[email protected]

Page 32: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

RDF2RDFa: RDFa in Snippet Style

32 Martin Hepp,

[email protected]

RDF2RDFa: Turning RDF into Snippets for Copy-and-Paste

Independent RDFa Snippets RDFa by design allows differences between the literals used as property values and the literals being displayed using the “content” attribute [1], e.g.

<body><div property="vcard:tel" datatype="xsd:string" content="+49-89-6004-0">+49-89-6004 ext. 0</div> </body>

This is particularly useful if the formatting of the data for humans and machines differs, e.g. in the case of date and time information (“2009-04-24T00:00:00+01:00”). It is possible to exploit this to

create XHTML snippets that just contain the meta-data and insert it for instance at the bottom of

the page:

<body><!-- Content for humans --><div>+49-89-6004-0</div> <!-- RDFa rich meta-data --><div property="vcard:tel" datatype="xsd:string" content="+49-89-6004-0"></div> </body>

The potential advantages of this approach are that (1) we disentangle the markup and that (2)

respective snippets for simple copy-and-paste can be provided by form-based tools like FOAF-a-Matic [2]. As compared to publishing a separate RDF/XML file on the server, the advantages are

that (1) RDFa data is considered by Yahoo! SearchMonkey and other services, (2) one still has

to maintain a single file only (reducing the likelihood of outdated, forgotten meta-data files), (3)

the content creator does not require access beyond being able to edit the page. Also, note that

literal values will often have to be encoded in RDFa “content” attributes anyway, because the string for the presentation is not suitable as meta-data content (e.g. dates or country codes).

In a nutshell, the proposed approach can be a powerful way of publishing non-trivial RDF meta-

data suitable for broad audiences. Imagine e.g. if eBay sellers were able to put detailed

GoodRelations [3] meta-data directly into the free markup part of their product description in the

system.

Abstract In this demo and poster, we show a conceptual approach and an on-line tool that allows the use of RDFa for embedding non-trivial RDF models in the form of invisible div/

span elements into existing Web content. This simplifies the publication of sophisticated RDF data, i.e. such that goes beyond simple property-value pairs, by broad

audiences. Also, it empowers users with access limited to inserting XHTML snippets within Web-based authoring systems to add fully-fledged RDF and even OWL. Such is

a frequent limitation for users of CMS systems or Wikis.

Example: N3 as RDFa Snippet

RDF2RDFa Tool References

[1] RDFa in XHTML: Syntax and Processing. A collection of attributes and processing rules for extending XHTML to support

RDF. W3C Recommendation 14 October 2008, available at http://www.w3.org/TR/2008/REC-rdfa-syntax-20081014.

[2] FOAF-a-Matic, available at

http://www.ldodds.com/foaf/foaf-a-matic.

[3] Hepp, M.: GoodRelations: An Ontology for Describing Products and Services Offers on the Web. 16th International

Conference on Knowledge Engineering and Knowledge Management (EKAW2008), Acitrezza, Italy, Springer LNCS Vol.

5268, 2008, pp. 332-347.

[4] RDFa Distiller, available at http://www.w3.org/2007/08/pyRdfa

Martin Hepp

E-Business & Web Science Research Group,

Universität der Bundeswehr

Werner-Heisenberg-Weg 39

D-85579 Neubiberg, Germany

+49-89-6004-4217

[email protected]

Roberto García

Computer Science and

Engineering Department

Universitat de Lleida

Jaume II, 69, E-25001 Lleida, Spain

+34-973-702-742

[email protected]

Andreas Radinger E-Business & Web Science Research Group,

Universität der Bundeswehr

Werner-Heisenberg-Weg 39

D-85579 Neubiberg, Germany

+49-89-6004-4218

[email protected]

Limitations of Popular RDFa Usage With the RDFa syntax for embedding RDF data in XHTML attributes being a W3C Recommendation, there is a standard way of adding RDF to Web content by inserting additional

mark-up [1]. However, the current usage of RDFa in the community is dominated by (1) using

simple property-value pairs rather than complex graph structures and (2) a close coupling

between page content for rendering and the literals attached to properties. For example, a typical

recipe would be to augment a phone number in a page by making it the literal attached to the vcard:tel property:

<body>

<div property="vcard:tel" datatype="xsd:string">+49-89-6004-0 </div> </body>

The key reason for the popularity of this approach is that there is no data redundancy, i.e. what is

shown in a browser is always identical to what an RDF-aware application will extract.

While this is appropriate for very lightweight annotations, it becomes very complicated if (1) more sophisticated RDF models are to be embedded or (2) the content or organization of the

information for humans on one hand and for machines on the other hand differ. Also, the

interweaving of existing Web content for humans with non-trivial RDF models requires a lot of

expertise, in particular if many nodes in the RDF model have no visual counterparts. In those

cases, the initial goal of avoiding data redundancy clashes with the goal of the separation of concerns, and the XHTML+RDFa markup gets hard to read and difficult to maintain because it

closely couples presentation and data. For examples, see http://www.ebusiness-unibw.org/wiki/

Rdfa4google. Most of all, it is not possible to provide users with XHTML snippets to be simply

inserted into Web resources, without the need to manually integrate them with existing XHTML

markup.

N3 foo:myCompany a gr:BusinessEntity ; gr:hasLegalName "Hepp Industries Ltd."^^xsd:string ; gr:hasDUNS "012345678"^^xsd:string ; gr:hasPOS foo:myShop ; rdfs:seeAlso <http://www.heppnetz.de>.foo:myShop a gr:LocationOfSalesOrServiceProvisioning ; rdfs:seeAlso <http://www.heppnetz.de/shop> ; gr:hasOpeningHourSpecification foo:Workdays.foo:Workdays a gr:OpeningHoursSpecification ; gr:opens "08:00:00"^^xsd:time ; gr:closes "18:00:00"^^xsd:time ; gr:hasOpeningHoursDayOfWeek gr:Monday, gr:Tuesday, gr:Wednesday, gr:Thursday, gr:Friday .

Page 33: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Discovery Effort

33 Martin Hepp,

[email protected]

Page 34: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Both Sides Can Help Build a Bridge

34 Martin Hepp,

[email protected]

Page 35: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

What Do We Need?

• Vocabularies

– Product or service

types

– Businesses

– Offerings

• Data Sets

– Product model data

– Businesses, contact

details, opening hours

– Offering data

• Tools

• Applications

35 Martin Hepp,

[email protected]

Page 36: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Part IV: The GoodRelations

Vocabulary and Data Space

Page 37: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations: A Unified View on

Commerce Data on the Web

37

Product Model

Master Data Shop

Offerings Auctions Spare Parts &

Consumables

Warranty

Delivery Payment

Retailers Manufacturers

Arbitrary Query

Extraction

and Reuse

Martin Hepp,

[email protected]

Page 38: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

On the Shoulders of Giants

38

A Unified View of Commerce Data

on the Web Martin Hepp,

[email protected]

Page 39: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

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/

39 Martin Hepp,

[email protected]

Page 40: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations Design Principles

• Keep simple things

simple and make

complex things possible

• Cater for LOD and OWL

DL worlds

• Academically sound

• Industry-strength

engineering

• Practically relevant

40

Lightweight

Web of Data

LOD

RDF + a little bit

Heavyweight

Web of Data

OWL DL

Martin Hepp,

[email protected]

Page 41: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Others Do Care: Pick-up in Industry

• BestBuy

• Smart Information Systems

• ebSemantics

• Yahoo! SearchMonkey

• Virtuoso Sponger Cartridges for Amazon, eBay, and

• Major German mail order companies

• etc.

41 Martin Hepp,

[email protected]

Page 42: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Yahoo Enhanced by SearchMonkey

42 Martin Hepp,

[email protected]

Page 43: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

BestBuy

43 Martin Hepp,

[email protected]

Page 44: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Incredible Success

44 Martin Hepp,

[email protected]

Page 45: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations #2 of all Web Ontologies

45

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

from Amazon and eBay!

Martin Hepp,

[email protected]

Page 46: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations #2 of all Web Ontologies

46 Martin Hepp,

[email protected]

Page 47: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Albert Einstein on Schema Design

"Make everything as simple as possible, but

not simpler.“

Albert Einstein

47 Martin Hepp,

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Page 48: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Basic Structure of Offers

48

Agent 1 Object or

Happening Promise

Agent 2

Compensation Transfer of

Rights

Martin Hepp,

[email protected]

Page 49: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Data, Standards, Ontologies

49 Martin Hepp,

[email protected]

Page 50: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations: License

• Permanent, royalty-free access for commercial and non-commercial use.

http://purl.org/goodrelations/

50 Martin Hepp,

[email protected]

Page 51: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Domain Structure and Use Cases

Page 52: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

The Minimal Scenario

• Scope

– Business entity

– Points-of-sale

– Opening hours

– Payment options

• Suitable for

– Every business

– E-commerce and

brick-and-mortar

52 Martin Hepp,

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Page 53: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

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 53 Martin Hepp,

[email protected]

Page 54: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations Annotator

54

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

Martin Hepp,

[email protected]

Page 55: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations in MediaWiki

http://www.ebusiness-unibw.org/wiki/RDFaInMediaWiki

Martin Hepp,

[email protected] 55

Page 56: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

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

56 Martin Hepp,

[email protected]

Page 57: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations CookBook

http://www.ebusiness-unibw.org/wiki/GoodRelations#Recipes_and_Examples

57 Martin Hepp,

[email protected]

Page 58: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

osCommerce Extension

http://code.google.com/p/goodrelations-for-oscommerce/

58 Martin Hepp,

[email protected]

Page 59: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Joomla/VirtueMart Extension

http://code.google.com/p/goodrelations-for-joomla/

Martin Hepp,

[email protected] 59

Page 60: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations in Oxid eSales

• Popular shop

software

• Free recipe for adding

GoodRelations,

developed by Daniel

Bingel

http://www.ebusiness-unibw.org/wiki/GoodRelations4Oxid

Martin Hepp,

[email protected] 60

Page 61: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

• Testshop

– http://www.la-mousson.de/

• Extension:

– Uwe Stoll, http://www.semantium.de/

GoodRelations in Magento

Page 62: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Google Product Feed Converter

http://www.ebusiness-unibw.org/tools/google-product-feed-converter/

62 Martin Hepp,

[email protected]

Page 63: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

BMEcat2GoodRelations

• Converts complete catalogs from the popular

BMEcat XML Schema into GoodRelations

http://www.ebusiness-unibw.org/tools/bmecat2goodrelations/ 63 Martin Hepp,

[email protected]

Page 64: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Product Model Data Scenario

• Scope

– Individual product

models

– Quantitative and

qualitative features

• Suitable for

– Manufacturers of

commodities

64 Martin Hepp,

[email protected]

Page 65: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Linked Open Commerce Dataspace

http://loc.openlinksw.com/sparql

65 Martin Hepp,

[email protected]

Page 66: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Linked Open Commerce Dataspace

http://loc.openlinksw.com/sparql 66 Martin Hepp,

[email protected]

Page 67: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Conclusion

Page 68: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Today: Loss of Variety and Detail

68 Martin Hepp,

[email protected]

Many Different

Products

Variety in

Preferences

Manufacturers &

Retailers Consumers

Web Search

Page 69: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

2010: Point-to-Point Commerce

69 Martin Hepp,

[email protected]

Many Different

Products

Variety in

Preferences

Manufacturers &

Retailers Consumers

Page 70: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

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 Semantic Web data. It’s easy!

70 Martin Hepp,

[email protected]

Page 71: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

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

71 Martin Hepp,

[email protected]

Page 72: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Part V: The Sky Is the Limit

Semantics in Affiliate Models,

Serendipity, Matchmaking

Page 73: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

http://igoogr.appspot.com/

Page 74: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale
Page 75: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations as a Global Schema

Page 76: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

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/

[email protected]

76 Martin Hepp,

[email protected]

Page 77: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Bonus Track: Tools and Resources

Page 78: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Additional Information

• Web Page – Ontology – Language Reference – Primer – Recipes – Wiki

http://purl.org/goodrelations/

78 Martin Hepp,

[email protected]

Page 79: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations User‘s Guide („Primer“)

79

http://www.heppnetz.de/projects/goodrelations/primer/

Page 80: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations Cookbook:

Recipes & Examples

80 Martin Hepp,

[email protected]

http://www.ebusiness-unibw.org/wiki/GoodRelations#Recipes_and_Examples

Page 81: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations Annotator

81

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

Martin Hepp,

[email protected]

Page 82: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

GoodRelations Validator

82

http://www.ebusiness-unibw.org/tools/goodrelations-validator/

Martin Hepp,

[email protected]

Page 83: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

RDF2dataRSS Tool

83

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

Martin Hepp,

[email protected]

Page 84: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

Growing Interest of Developers

Page 85: GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale

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/

[email protected]

85 Martin Hepp,

[email protected]


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