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Improving Semantic Search Using Query Log Analysis �
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BibTeX
@MISC{Elbedweihy_improvingsemantic,
author = {Khadija Elbedweihy and Stuart N. Wrigley and Fabio Ciravegna},
title = {Improving Semantic Search Using Query Log Analysis �},
year = {}
}
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Abstract
Abstract. Despite the attention Semantic Search is continuously gaining, several challenges affecting tool performance and user experience remain unsolved. Among these are: matching user terms with the searchspace, adopting view-based interfaces in the Open Web as well as supporting users while building their queries. This paper proposes an approach to move a step forward towards tackling these challenges by creating models of usage of Linked Data concepts and properties extracted from semantic query logs as a source of collaborative knowledge. We use two sets of query logs from the USEWOD workshops to create our models and show the potential of using them in the mentioned areas.
