Scientific Lenses over Linked Data: An approach to support task specific views of the data. A vision.

Christian Brenninkmeijer, Chris Evelo, Carole Goble, Alasdair JG Gray, Paul Groth, Steve Pettifer, Robert Stevens, Antony J Williams, Egon L Willighagen

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

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Abstract

Within complex scientific domains such as pharmacology, operational equivalence between two concepts is often context-, user- and task-specific. Existing Linked Data integration procedures and equiva- lence services do not take the context and task of the user into account. We present a vision for enabling users to control the notion of opera- tional equivalence by applying scientific lenses over Linked Data. The scientific lenses vary the links that are activated between the datasets which affects the data returned to the user.
Original languageEnglish
Title of host publicationProceedings of the 2nd International Workshop on Linked Science 2012 Tackling Big Data (LISC'12)
Subtitle of host publicationco-located with 11th International Semantic Web Conference (ISWC'12)
EditorsTomi Kauppinen, Line C. Pouchard, Carsten Keßler
PublisherRWTH Aachen University
Publication statusPublished - Nov 2012
Event2nd International Workshop on Linked Science 2012: Tackling Big Data. - 11th International Semantic Web Conference (ISWC'12), Boston, United States
Duration: 12 Nov 201212 Nov 2012
Conference number: 2
https://web.archive.org/web/20190723052156/http://linkedscience.org/events/lisc2012/

Publication series

NameCEUR Workshop Proceedings
Volume951
ISSN (Electronic)1613-0073

Conference

Conference2nd International Workshop on Linked Science 2012
Abbreviated titleLISC12
Country/TerritoryUnited States
CityBoston
Period12/11/1212/11/12
Internet address

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