Introduction Motivation Evolution Knowledge URIs Lifecycle Interfaces Discovery Conclusion Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data Baltic DB & IS 2014 http://eis.iai.uni-bonn.de Christoph Lange 1,2 and Sören Auer 1,2 1 Enterprise Information Systems, University of Bonn, Germany 2 Organized Knowledge, Fraunhofer IAIS, Sankt Augustin, Germany 2014-06-09 Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 1
48
Embed
Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data
The Linked Data paradigm has emerged as a powerful enabler for data and knowledge interlinking and exchange using standardised Web technologies. In this article, we discuss our vision how the Linked Data paradigm can be employed to evolve the intranets of large organisations -- be it enterprises, research organisations or governmental and public administrations -- into networks of internal data and knowledge. In particular for large enterprises data integration is still a key challenge. The Linked Data paradigm seems a promising approach for integrating enterprise data. Like the Web of Data, which now complements the original document-centred Web, data intranets may help to enhance and flexibilise the intranets and service-oriented architectures that exist in large organisations. Furthermore, using Linked Data gives enterprises access to 50+ billion facts from the growing Linked Open Data (LOD) cloud. As a result, a data intranet can help to bridge the gap between structured data management (in ERP, CRM or SCM systems) and semi-structured or unstructured information in documents, wikis or web portals, and make all of these sources searchable in a coherent way.
Keynote at Baltic DB&IS 2014, 9 June 2014, Tallinn, Estonia
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Prof. Sören Auerpreviously at the University of Leipzig, AKSW group(DBpedia etc.)Christoph Lange: 1 of 3 postdocs∼ 15 members of scientific staff6 PhD students
Business areas:Enterprise Information IntegrationDigital Libraries (cultural heritage and otherapplications)Personalised medicine
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 3
Data in Today’s SocietyExample (Demographics in Bonn)
Statistics, e.g. frommunicipal office for integrationHousing (accessibility, availability, . . . ):municipal, commercial, self-organisedTransport (e.g. accessibility): bus/tramInfrastructure: e.g. accessible public toilets
Complex questions:Apartments that meet my requirements w.r.t.public transport, accessibility, care, co-residentsWhat bus takes me from A to B, with sufficientchanging time near an accessible toilet?
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 4
Enterprise information integration: a key field ofbusiness of the OK department at Fraunhofer IAIS
production-critical information often maintained indedicated IS already:ERP, CRM, SCM, . . .challenge: integration of these systems (with eachother, and with external sources)Daimler, e.g., runs 3,000 independent IT systems(after a decade of consolidation!)
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 11
Previous approaches to enterprise IT:XML syntactic data representationWeb services data exchange protocolsSOA holistic approach for distributed system
architecture and communicationStill insufficient for data integration
SOA is good for transaction processing, . . .. . . Linked Data is more efficient for networkingand integrating data: access to LOD Cloud,lightweight, flexible
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 12
Web of Data: schema.orginitiative of major search engine operatorsannotation vocabulary for structuring web pages(creative works, events, organisations, persons,places, products)
Example (Movie description)AvatarDirector: James Cameron (born August 16, 1954)Science fictionTrailer
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 14
Web of Data: schema.orginitiative of major search engine operatorsannotation vocabulary for structuring web pages(creative works, events, organisations, persons,places, products)
Example (Movie description)<div class="movie"><h1>Avatar</h1><div class="director">Director: James Cameron(born August 16, 1954)
Web of Data: schema.orginitiative of major search engine operatorsannotation vocabulary for structuring web pages(creative works, events, organisations, persons,places, products)
Web of Data: schema.orginitiative of major search engine operatorsannotation vocabulary for structuring web pages(creative works, events, organisations, persons,places, products)
Example (Movie description)Movie Avatar Person
James Cameron
August 16, 1954Science fiction../movies/. . .
type name
directorgenre
trailer
type
namebirthDate
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 14
review or rating of a creative work, organization orproduct (written by a person)social network of a person: “knows”, “works for”, “iscolleague of”, “has parent/sibling/spouse/child/relative”
Example (Reviews of a movie)
Movie type
Avatar
name
reviews
authorreviewRat
ing
reviewsauthor
reviewRating
6ratingValue
8.5ratingValue
Pünktchenname
Antonname
Persontypetype
knows
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 15
The 5-star Linked Data principles (above), plus:evolve existing thesauri, taxonomies, wikis andmaster data management systems into corporateknowledge bases and knowledge hubsestablish an organisation-wide URI schemeextend existing information system in the intranetby linked data interfacesestablish links between sources of relatedinformation
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 19
Decentral maintenance: different levels,combinations possible (next slide)Dereferenceability (i.e. URIs = URLs)Provenance (URI reveals organisational unit↝authenticity and correctness of information)
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 28
Analysing Linked Data QualityJava library for quality metrics in progressWe support big datasets (streaming triples)Output once more as linked data [DLA14] – why?
complexity: data cube with dimensions metric, dataset,time, intended application, . . . (e.g. “completeness ofDBpedia 3.9 for a Tallinn tourist guide”)can→ browse datasets by quality
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 33
Take Home MessagesLinked Data: promising technology for closing thegap between SOA and unstructured informationmanagementwealth of LOD can be leveraged as backgroundknowledge for Enterprise applicationsapplication of Linked Data in large organisations (inenterprises, research and society) is still largelyunexplored (⇒ opportunity!)Linked Data will make Organisational InformationIntegration more
flexibleiterativecost effective
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 39
5 star Open Data. Apr. 3, 2012. url:http://5stardata.info/ (visited on 2013-09-18).
S. Auer, L. Bühmann, C. Dirschl, O. Erling,M. Hausenblas, R. Isele, J. Lehmann, M. Martin,P. N. Mendes, B. van Nuffelen, C. Stadler, S. Tramp,and H. Williams. “Managing the life-cycle of LinkedData with the LOD2 Stack”. In: Proceedings ofInternational Semantic Web Conference (ISWC 2012).22% acceptance rate. 2012. url:http://iswc2012.semanticweb.org/sites/default/files/76500001.pdf.
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 40
J. Debattista, C. Lange, and S. Auer. “daQ, an Ontologyfor Dataset Quality Information”. In: Linked Data ontheWeb (LDOW). (Seoul, Apr. 8, 2014). Ed. by C. Bizer,T. Heath, S. Auer, and T. Berners-Lee. 2014. url:http://events.linkeddata.org/ldow2014/.
P. Frischmuth, S. Auer, S. Tramp, J. Unbehauen,K. Holzweißig, and C.-M. Marquardt. “Towards LinkedData based Enterprise Information Integration”. In:Proceedings of theWorkshop on Semantic WebEnterprise Adoption and Best Practice (WASABI) 2013.2013. url: http://www.wasabi-ws.org/papers/wasabi03/paper.pdf.
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 41
E. Hyvönen, J. Tuominen, M. Alonen, and E. Mäkelä.“Linked Data Finland: A 7-star Model and Platform forPublishing and Re-using Linked Datasets”. In:
M. Kerber, C. Lange, and C. Rowat. ForMaRE. FormalMathematical Reasoning in Economics. url: http://cs.bham.ac.uk/research/projects/formare/(visited on 2013-02-10).
C. Lange. “Enabling Collaboration on SemiformalMathematical Knowledge by Semantic WebIntegration”. PhD thesis. Jacobs University Bremen,2011.
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 42
A. Zaveri, A. Rula, A. Maurino, R. Pietrobon,J. Lehmann, and S. Auer. “Quality AssessmentMethodologies for Linked Open Data (UnderReview)”. In: Semantic Web Journal (2013). This articleis still under review. url: http://www.semantic-web-journal.net/content/quality-assessment-linked-open-data-survey.
Lange/Auer (Bonn) Interlinking Data and Knowledge in Enterprises, Research and Society with Linked Data 2014-06-09 43