Alani, Harith; Jones, Christopher and Tudhope, Douglas
(2000).
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| URL: | http://www.informatik.uni-trier.de/~ley/db/conf/er... |
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| DOI (Digital Object Identifier) Link: | https://doi.org/10.1007/3-540-45268-0_5 |
| Google Scholar: | Look up in Google Scholar |
Abstract
The OASIS (Ontologically Augmented Spatial Information System) project explores terminology systems for thematic and spatial access in digital library applications. A prototype implementation uses data from the Royal Commission on the Ancient and Historical Monuments of Scotland, together with the Getty AAT and TGN thesauri. This paper describes its integrated spatial and thematic schema and discusses novel approaches to the application of thesauri in spatial and thematic semantic distance measures. Semantic distance measures can underpin interactive and automatic query expansion techniques by ranking lists of candidate terms. We first illustrate how hierarchical spatial relationships can be used to provide more flexible retrieval for queries incorporating place names in applications employing online gazetteers and geographical thesauri. We then employ a set of experimental scenarios to investigate key issues affecting use of the associative (RT) thesaurus relationships in semantic distance measures. Previous work has noted the potential of RTs in thesaurus search aids but the problem of increased noise in result sets has been emphasised. Specialising RTs allows the possibility of dynamically linking RT type to query context. Results presented in this paper demonstrate the potential for filtering on the context of the RT link and on subtypes of RT relationships.
| Item Type: | Conference or Workshop Item |
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| Copyright Holders: | 2000 Springer-Verlag |
| ISBN: | 3-540-41023-6, 978-3-540-41023-2 |
| ISSN: | 0302-9743 |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) Centre for Policing Research and Learning (CPRL) |
| Item ID: | 20069 |
| Depositing User: | Harith Alani |
| Date Deposited: | 15 Apr 2010 09:59 |
| Last Modified: | 28 Jun 2017 17:10 |
| URI: | http://oro.open.ac.uk/id/eprint/20069 |
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