Utilising Provenance to Enhance Social Computation

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

6 Citations (Scopus)
9 Downloads (Pure)


Many online platforms employ networks of human workers to perform computational tasks that can be difficult for a machine (e.g. reporting travel disruption). Such systems have to make a range of decisions, for example, selection of suitable workers for a task. In this paper we present an approach that utilises Semantic Web technologies and provenance to support such decision-making processes.
Original languageEnglish
Title of host publicationThe Semantic Web – ISWC 2013
Subtitle of host publicationProceedings of the 12th International Semantic Web Conference, Sydney, NSW, Australia, October 21-25 2013
EditorsHarith Alani, Lalana Kagal, Achille Fokoue, Paul Groth, Chris Biemann, Josiane Xavier Parreira, Lora Aroyo, Natasha Noy, Chris Welty, Krzysztof Janowicz
Number of pages8
ISBN (Electronic)978-3-642-41338-4
ISBN (Print)978-3-642-41337-7
Publication statusPublished - Oct 2013

Publication series

NameLecture Notes in Computer Science
ISSN (Electronic)0302-9743


  • social computation
  • semantic web
  • provenance


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