@inproceedings{66dd93c229e84844bdebe625c1bdd06c,
title = "Utilising Provenance to Enhance Social Computation",
abstract = "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.",
keywords = "social computation, semantic web, provenance",
author = "Milan Markovic and Pete Edwards and David Corsar",
year = "2013",
month = oct,
doi = "10.1007/978-3-642-41338-4_29",
language = "English",
isbn = "978-3-642-41337-7",
series = "Lecture Notes in Computer Science ",
publisher = "Springer ",
pages = "440--447",
editor = "Harith Alani and Lalana Kagal and Achille Fokoue and Groth, {Paul } and Chris Biemann and Parreira, {Josiane Xavier} and Lora Aroyo and Natasha Noy and Welty, {Chris } and Janowicz, {Krzysztof }",
booktitle = "The Semantic Web – ISWC 2013",
}