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ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

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More than 50% of a developed nation's Gross Domestic Product is used for establishing and maintaining the exchange of goods and services, and a large share of that is consumed for the search for potential suppliers and consumers. A key variable that determines that effort is the specificity of the objects being exchanged, which is generally on the rise: We produce and consume much more specific objects than a decade ago. In this talk, I will outline how Linked Data can be used to weave a giant graph of information about products, offers, stores, and related facts. This will reduce the effort for business matchmaking on a Web scale. Centerpiece of that graph is the GoodRelations ontology, a global schema for exposing such facts as Linked Data on the Web. GoodRelations is the second most popular conceptual schema on the Web of Data and one of the few examples of academic research in the field that has been adopted by several Fortune 500 companies, like BestBuy or Yahoo. More information on GoodRelations is at http://purl.org/goodrelations/
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Linked Data in E-Commerce – The GoodRelations Ontology ISKO UK Conference on Linked Data September 14, 2020, London, UK Prof. Dr. Martin Hepp Professur für Allgemeine BWL, insbesondere E-Business
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Page 1: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Linked Data in E-Commerce – The GoodRelations Ontology

ISKO UK Conference on Linked Data

September 14, 2020, London, UK

Prof. Dr. Martin Hepp Professur für Allgemeine BWL, insbesondere E-Business

Page 2: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Matchmaking in Market Economies

14.09.2010 2

Page 3: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Macroeconomic Impact

14.09.2010 3

John Joseph Wallis and Douglas C. North:

Measuring the Transaction Sector in the

American Economy, 1870 – 1970

(1986)

Transaction Costs:

> 50 % of the

US GDP (1970)

Page 4: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Key Driver of Search Costs: Specificity

How much you loose when you can‘t

use a good for what it was designed.

Page 5: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Growth in Specificity

1920: 5168 Types of Goods

5 14.09.2010

Page 6: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Examples

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Page 7: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Examples

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Page 8: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Examples

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Page 9: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Specificity Increases the Search Space

9 14.09.2010

Page 10: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

WWW: Dramatic Reduction of Search Effort

Lower search costs per search than ever before in history.

14.09.2010 10

1993 2010

Page 11: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

But ….

Page 12: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

The WWW: A Giant Data Shredder

14.09.2010 12

Source: Structured Data

Recipient: Unstructured Text

Page 13: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

What is Linked Data Linked

14.09.2010 13

Susi Martin

loves

1 2 3 4

Page 14: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

What is Special About E-Commerce Data?

14.09.2010 14

$$$

RDBMS

1

2

3

4

Page 15: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

GoodRelations: A Global Schema for Commerce Data on the Web

15

Product Model Master Data Shop

Offerings Auctions Spare Parts & Consumables

Warranty

Delivery Payment

Retailers Manufacturers

Arbitrary Query

Extraction and Reuse

14.09.2010

Page 16: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

On the Shoulders of Giants

16

A Unified View of Commerce Data on the Web

14.09.2010

Page 17: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

GoodRelations Principle: Small Data Packets Inside Your Page

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Page 18: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Albert Einstein on Schema Design

"Make everything as simple as possible, but

not simpler.“

Albert Einstein

18 14.09.2010

Page 19: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Data, Standards, Ontologies

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Page 20: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Subtle Distinctions Foster Data Reuse

• Product Offer

– „You can buy or lease my house“

• Store Business entity

– „How many Tesco stores are in London?“

• Product Product Model

– „How many digital cameras by Canon are

listed on eBay“?

14.09.2010 20

Page 21: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Basic Structure of Offers

21

Agent 1 Object or

Happening Promise

Agent 2

Compensation Transfer of Rights

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Page 22: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Valuable Types of Links: Product - Product Model

14.09.2010 22

Ford T Data-sheet

Photo

cre

dits: F

lickr.

com

, availa

ble

u

nder

CC

BY

2.0

by b

sabarn

ow

l

gr:hasMakeAndModel

Often via strong, non-URI identifiers like EAN/UPC

Page 23: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Valuable Types of Links: Offer – Store(s)

14.09.2010 23

XYZ for $ 99

gr:availableAtOrFrom

Page 24: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Valuable Types of Links: Company – Store(s)

14.09.2010 24

gr:hasPOS

Page 25: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Impact and Success

• One of the few vocabularies implemented by major businesses out of their own budget.

• BestBuy, O’Reilly, Overstock.com,…

• Ca. 16 % of all triples as of now

• Supported by Yahoo

• Bing, Google may join

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Page 26: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Yahoo Enhanced by SearchMonkey

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Page 27: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Developer Resources, Data, Tools

http://purl.org/goodrelations/

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Page 28: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Thank you!

http://purl.org/goodrelations/

Prof. Dr. Martin Hepp

Chair of General Management and E-Business Universitaet der Bundeswehr 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]

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Page 29: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Both Sides Can Help Build a Bridge

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Page 30: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Why is GoodRelations not part of the Linked Open Data cloud diagram?

Is GoodRelations data linked data

after all?

Page 31: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Ontology Economics

14.09.2010 31 Hepp,

Mart

in:

Possib

le O

nto

logie

s:

How

Realit

y C

onstr

ain

s t

he

Develo

pm

ent

of

Rele

vant

Onto

logie

s,

in:

IEE

E I

nte

rnet

Com

puting,

V

ol. 1

1, N

o. 1, pp. 90-9

6, Jan-F

eb 2

007

Page 32: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

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

32

Lightweight Web of Data

LOD RDF + a little bit

Heavyweight Web of Data

OWL DL

14.09.2010

Page 33: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

Incredible Success

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Page 34: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

GoodRelations #2 of all Web Ontologies

34

…and this does not yet include the > 10 Mio. offers from Amazon and eBay!

14.09.2010

Page 35: ISKO 2010: Linked Data in E-Commerce – The GoodRelations Ontology

GoodRelations #2 of all Web Ontologies

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