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Controlled vocabularies build the backbone of Enterprise Semantics. Learnings from the Linked Data approach show that metadata management should be a mere decentralized work than building yet another silo which is hard to maintain. With linked enterprise vocabularies we make use of parts of the SKOS standard which foresees that thesauri and taxonomies can be linked to each other.
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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 [email protected]
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!”