Improving Business Value Using Linked Enterprise Vocabularies

Andreas BlumauerSemantic Web Companywww.semantic-web.at

The challeng

e

Integrate• Integrate data more easily from different

departments/different silos• Integrate structured data and unstructured

data• Explore and integrate internal data with

external information

Collaborate• Exchange data more easily and efficiently

with external organizations – partners, vendors, clients, etc.

Grow• Locate and use dynamic, quickly moving

data• Maintain a more agile knowledge base• Expand knowledge base more easily with

the help of linked data

The challeng

e

Business groups share common processes, topics. But how do they communicate?

HR

Marketing

Research

Production

Is it through a common vocabulary? Or common understanding?

Innovationmanagement

Innovationmanagemen

t

Marketing

HR

Globalization + Localization = New demands on business vocabularies

Luxury carLuxury car

Marketing(Europe)

Marketing(U.S.)

How to share common data? What questions do business groups have in common?

‘Innovation management methods’Searc

h

HRMarketing/Sales

Research Production

The Semantic Puzzle: Learning from the ‘Linked Open Data’ movement

Big data linked through established W3C semantic web standards

“Which policies in the area of renewable energy have helped to initiate projects and programmes in the agricultural sector which finally have improved substantially the nutritional situation in a certain country?”

http://www.w3.org/standards/semanticweb/data

The solution approac

h

Linked Vocabularies

• Simple Knowledge Organisation System is a W3C standard to develop enterprise vocabularies

• SKOS provides several properties for vocabulary linking (mapping):– skos:exactMatch– skos:closeMatch– skos:broadMatch– skos:narrowMatch– skos:relatedMatch

http://www.w3.org/TR/2009/REC-skos-reference-20090818/

Example: Use of two common phrases with similar meanings

Leanmanufacuring

Leanproduction

ProductionResearch

Same concept but different contexts

http://company.com/research/1452

http://company.com/production/729skos:exactMatch

prefLabel:Lean productionaltLabel: Lean enterprisebroader: Production managementrelated: just in time, rationalization,

group work

prefLabel:Lean manufacturingaltLabel: Lean productionbroader: Lean conceptsrelated: Scientific management,

Kaizen

http://dbpedia.org/resource/Lean_Manufacturing

skos:exactMatch

skos:exactMatch

Linked data alignment is key

Tools for (semi-)automatic linked data alignment:

• SILK - http://lod2.eu/Project/Silk.html • LIMES - http://lod2.eu/Project/LIMES.html • PoolParty Thesaurus Server -

http://poolparty.biz/products/poolparty-thesaurus-manager/

Applications

Querying third-party data in your own language

‘Lean manufacturing’Searc

h

‘Lean enterprise

’

Research

Production

Querying your own data & third-party data as if it were one single database

http://reegle.info/countries

Querying structured data and unstructured data in one step

IndustryNews

‘Show me industry news which mention countries or regions to which our export volume has increased over the last 5 years at least by 10% and which deal with one of our products and/or with one of our competitors.’

(Federated) SPARQL Queries

Export statistics

Conclusion

Explicit metadata layer

Metadata: • Stored and processed separately from data• Metadata management is part of the enterprise information management strategy

HRMarketing/Sales

Research ProductionData Data

Data Data

Linked enterprise vocabularies are the backbone for a semantic infrastructure

© Semantic Web Company – http://www.semantic-web.at/ 21

Information integration on semantic level

Application (integrated views)

http://company.com/research/1452

http://company.co

m/production/

729

Lean manufacturing

Lean production

http://company.com/regions/Belgium

http://company.com/regions/Benelux broaderrelatedmatch

Semantic Web Company GmbHMariahilfer Strasse 70/81070 ViennaAustria

http://www.semantic-web.at/ http://poolparty.biz

http://twitter.com/semwebcompany

Andreas BlumauerManaging Partnera.blumauer@semantic-web.at

22© Semantic Web Company – http://www.semantic-web.at/

“Thank you for your time and please forward any comments or questions to me for more information on our product or linked data & vocabularies!”