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Finding the right term: Retrieving and exploring semantic concepts in astronomical vocabularies

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Title: Finding the right term: Retrieving and exploring semantic concepts in astronomical vocabularies
Authors: Gray, Alasdair J.G.1 agray@dcs.gla.ac.uk, Gray, Norman2 norman@astro.gla.ac.uk, Hall, Christopher W.1, Ounis, Iadh1 ounis@dcs.gla.ac.uk
Source: Information Processing & Management. Jul2010, Vol. 46 Issue 4, p470-478. 9p.
Subjects: Information retrieval, Tags (Metadata), Astronomy, Vocabulary, Semantic Web, Terms & phrases, QUERY (Information retrieval system), Semantics, Web search engines
Abstract: Abstract: Astronomy, like many domains, already has several sets of terminology in general use, referred to as controlled vocabularies. For example, the keywords for tagging journal articles, or the taxonomy of terms used to label image files. These existing vocabularies can be encoded into skos, a W3C proposed recommendation for representing vocabularies on the Semantic Web, so that computer systems can help users to search for and discover resources tagged with vocabulary concepts. However, this requires a search mechanism to go from a user-supplied string to a vocabulary concept. In this paper, we present our experiences in implementing the Vocabulary Explorer, a vocabulary search service based on the Terrier Information Retrieval Platform. We investigate the capabilities of existing document weighting models for identifying the correct vocabulary concept for a query. Due to the highly structured nature of a skos encoded vocabulary, we investigate the effects of term weighting (boosting the score of concepts that match on particular fields of a vocabulary concept), and query expansion. We found that the existing document weighting models provided very high quality results, but these could be improved further with the use of term weighting that makes use of the semantic evidence. [Copyright &y& Elsevier]
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Database: Engineering Source
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Abstract:Abstract: Astronomy, like many domains, already has several sets of terminology in general use, referred to as controlled vocabularies. For example, the keywords for tagging journal articles, or the taxonomy of terms used to label image files. These existing vocabularies can be encoded into skos, a W3C proposed recommendation for representing vocabularies on the Semantic Web, so that computer systems can help users to search for and discover resources tagged with vocabulary concepts. However, this requires a search mechanism to go from a user-supplied string to a vocabulary concept. In this paper, we present our experiences in implementing the Vocabulary Explorer, a vocabulary search service based on the Terrier Information Retrieval Platform. We investigate the capabilities of existing document weighting models for identifying the correct vocabulary concept for a query. Due to the highly structured nature of a skos encoded vocabulary, we investigate the effects of term weighting (boosting the score of concepts that match on particular fields of a vocabulary concept), and query expansion. We found that the existing document weighting models provided very high quality results, but these could be improved further with the use of term weighting that makes use of the semantic evidence. [Copyright &y& Elsevier]
ISSN:03064573
DOI:10.1016/j.ipm.2009.09.004