Capturing provenance for a linkset of convenience

Simon Jupp, James Malone, Alasdair J G Gray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Biological interactions such as those between genes and proteins are complex and require intricate OWL models. However, direct links between biological entities can support search and data integration. In this paper we introduce linksets of convenience that capture these direct links. We show the provenance statements required to track the derivation of such linksets; linking them back to the full biological justification.
Original languageEnglish
Title of host publicationProceedings of the 4th Workshop on Linked Science 2014 - Making Sense Out of Data (LISC2014)
PublisherCEUR-WS
Pages71-75
Number of pages5
Publication statusPublished - 19 Oct 2014
Event4th Workshop on Linked Science: Making Sense Out of Data - Riva del Garda, Trentino, Italy
Duration: 19 Oct 201419 Oct 2014

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS
Volume1282
ISSN (Print)1613-0073

Conference

Conference4th Workshop on Linked Science: Making Sense Out of Data
Abbreviated titleLISC 2014
Country/TerritoryItaly
CityRiva del Garda, Trentino
Period19/10/1419/10/14

Keywords

  • Data linking
  • Provenance
  • VoID

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