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

1. A Short Introduction to
Semantic Web-based E-Commerce:
The GoodRelations Vocabulary
http://purl.org/goodrelations/
Martin Hepp
mhepp@computer.org / http://www.heppnetz.de
Martin Hepp
1
mhepp@computer.org

2. This Presentation is for YOU
Everybody selling
• goods and services on the
Web,
• Web shop software, or
• ERP software.
Everybody involved in
• managing product master
data (e.g. e-catalogs).
Martin Hepp
2
mhepp@computer.org

3. E-Commerce on the Web
World Wide Web
Enterprise 1
Structured
Data on
Products and
Services
(purchased
and offered)
Martin Hepp 3
mhepp@computer.org

4. E-Commerce on the Web
World Wide Web
Enterprise 1
Structured
Data on
Products and
Services
(purchased
and offered)
Martin Hepp 3
mhepp@computer.org

5. E-Commerce on the Web
World Wide Web
Enterprise 1
Structured
Data on
Products and
Services
(purchased
and offered)
Martin Hepp 3
mhepp@computer.org

6. E-Commerce on the Web
World Wide Web
Enterprise 1
Enterprise 2
Structured
Data on
Structured Products and
Data on Services
Products and (purchased
Services and offered)
(purchased
and offered)
Martin Hepp 3
mhepp@computer.org

7. E-Commerce on the Web
World Wide Web
Enterprise 1
Enterprise 2
Structured
Data on
Structured Products and
Data on Services
Products and (purchased
Services and offered)
(purchased
and offered)
Martin Hepp 3
mhepp@computer.org

8. E-Commerce on the Web
World Wide Web
Enterprise 1
Enterprise 2
Structured
Data on
Structured Products and
Data on Services
Products and (purchased
Services and offered)
(purchased
and offered)
Martin Hepp 3
mhepp@computer.org

9. The Web as a Bottleneck for Sharing Product Data
Martin Hepp
4
mhepp@computer.org

10. The Web as a Bottleneck for Product Search
• Who sells solar panels with at least 12 A
output?
• Who can repair my Sony TV set?
• Who sells Volkswagen cars?
• etc.
Martin Hepp
5
mhepp@computer.org

11. The Web as a Bottleneck for Product Search
Martin Hepp
6
mhepp@computer.org

12. Web of Data (“Semantic Web”)
Enterprise 1
Enterprise 2
Structured
Structured Data on
Data on Products and
Products and Services
Services (purchased
(purchased and offered)
and offered)
Martin Hepp
7
mhepp@computer.org

13. Web of Data (“Semantic Web”)
Enterprise 1
Enterprise 2
Structured
Data on
Products and
+ Structured
Data on
Products and
Services
Services (purchased
(purchased and offered)
and offered)
Martin Hepp
7
mhepp@computer.org

14. Web of Data (“Semantic Web”)
Enterprise 1
Enterprise 2
Structured
Structured Data on
Data on Products and
Products and Services
Services (purchased
(purchased and offered)
and offered)
Martin Hepp
7
mhepp@computer.org

15. Web of Data (“Semantic Web”)
Enterprise 1
Enterprise 2
Structured
Structured Data on
Data on Products and
Products and Services
Services (purchased
(purchased and offered)
and offered)
is compatible with is manufacturer of
Martin Hepp
7
mhepp@computer.org

16. E-Commerce on the Web of Data
(“Semantic Web”)
World Wide Web
Enterprise 1 Enterprise 2
Structured Structured
Data on Data on
Products and Products and
Services Services
(purchased (purchased
and offered) and offered)
Product Specifications: Type of Product, Features etc.
Details of the Offering: Price, Eligible Regions, etc.
Martin Hepp
8
mhepp@computer.org

17. Why Should I Bother?
• Web Shops: Better visibility in latest generation of
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!
Martin Hepp
9
mhepp@computer.org

18. Others Do Care: Pick-up in Industry
• Yahoo! SearchMonkey
• Smart Information Systems
• ebSemantics
• Virtuoso Sponger Cartridges for Amazon, eBay,
and others expected
• Numerous vendors of Web Shop software
Martin Hepp
10
mhepp@computer.org

19. 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
11
mhepp@computer.org

20. The GoodRelations Vocabulary
• Permanent,for
free access
royalty-
commercial and non-
commercial use.
http://purl.org/goodrelations/
Martin Hepp
12
mhepp@computer.org

21. 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
13
mhepp@computer.org

22. Additional Information
• Web Page
•Ontology
•Language Reference
•Primer
•Recipes
•Wiki
http://purl.org/goodrelations/
Martin Hepp
14
mhepp@computer.org

23. Contact us!
Dr. Martin Hepp
Chair of General Management
and E-Business
Bundeswehr University Munich
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
15
mhepp@computer.org

24. Thank you!
http://purl.org/goodrelations/
Martin Hepp
mhepp@computer.org / http://www.heppnetz.de
Martin Hepp
16
mhepp@computer.org