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In this paper, we present an approach to enable applications to choose the equivalence criteria to apply between datasets. Thus, supporting multiple dynamic views over the Linked Data. For chemical data, we show that multiple sets of links can be automatically generated according to different equivalence criteria and published with semantic descriptions capturing their context and interpretation. This approach has been applied within a large scale public-private data integration platform for drug discovery. To cater for different use cases, the platform allows the application of different lenses which vary the equivalence rules to be applied based on the context and interpretation of the links.
|Title of host publication||The Semantic Web - ISWC 2014 - 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part I|
|Number of pages||16|
|Publication status||Published - 23 Oct 2014|
|Name||ISWC: International Semantic Web Conference|
FingerprintDive into the research topics of 'Scientific Lenses to Support Multiple Views over Linked Chemistry Data'. Together they form a unique fingerprint.
Soiland-Reyes, S., 1 Apr 2021
Research output: Non-textual form › Data set/DatabaseOpen Access
Scientific Lenses over Linked Data: An approach to support task specific views of the data. A vision.Brenninkmeijer, C., Evelo, C., Goble, C., Gray, A. JG., Groth, P., Pettifer, S., Stevens, R., Williams, A. J. & Willighagen, E. L., Nov 2012, Proceedings of the 2nd International Workshop on Linked Science 2012 Tackling Big Data (LISC'12): co-located with 11th International Semantic Web Conference (ISWC'12). Kauppinen, T., Pouchard, L. C. & Keßler, C. (eds.). RWTH Aachen University, (CEUR Workshop Proceedings; vol. 951).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-reviewOpen AccessFile