Towards Identity in Linked Data

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TW-2010-10 +  redirect page

Towards Identity in Linked Data +  Has identifier

Towards Identity in Linked Data

Bibtype  inproceedings

Has publishing details  2010

Has title  Towards Identity in Linked Data

Has tr id  TW-2010-10

Has url  http://tw.rpi.edu/wiki.tw/images/8/8e/Owled2010-sameas.pdf

Has where published  Proceedings of OWL Experiences and Directions Seventh Annual Workshop

Has year  2010

Pdf url  http://tw.rpi.edu/wiki.tw/images/8/8e/Owled2010-sameas.pdf

Title  Towards Identity in Linked Data

Year  2010

Abstract  Many Linked Data applications have come to Many Linked Data applications have come to rely on owl:sameAs for linking datasets. However, the current semantics for owl:sameAs assert that identity entails isomorphism, or that if a=b, then all statements of a and b are shared by both. This becomes problematic when dealing with provenance, context, and imperfect representations, all of which are endemic issues in Linked Data. Merging provenance can be problematic or even catastrophic in biomedical applications that demand access to provenance information. We use examples as use in biospecimen management, experimental metadata representations, and use personal identity in Friend-of-a-Friend (FOAF) to demonstrate some of the problems that can arise with the use of owl:sameAs. We also show that the existence of an isomorphic owl:sameAs can be inconsistent with current expectations in a number of our use cases. We present a solution that allows the extraction of isomorphic statements without requiring their direct assertion. We also introduce a set of identity properties that can be extended for domain-specific purposes while maintaining clarity of definition within each property. larity of definition within each property.

Author  James P. McCusker +, Deborah L. McGuinness +

Booktitle  Proceedings of OWL Experiences and Directions Seventh Annual Workshop +

Has author  James P. McCusker +, Deborah L. McGuinness +

Has identifier  Towards Identity in Linked Data +

Categories  Publication +, TW Technical Report +, Workshop Paper +

 

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