Yang, Hui and Zhang, Minjie
(2005).
| URL: | http://portal.acm.org/citation.cfm?id=1078944 |
|---|---|
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1109/ICITA.2005.199 |
| Google Scholar: | Look up in Google Scholar |
Abstract
Content-based resource description is the key to find appropriate information sources that are most likely to contain the relevant documents for a given user query. However, semantic heterogeneity makes it difficult to acquire accurate and meaningful resource descriptions from distributed, heterogeneous information sources. To address this problem, we describe an ontology-based approach which uses domain-specific ontologies to extract content-related information from information sources, and to generate ontology-based resource descriptions. The preliminary experimental results demonstrate that our ontology-based approach could improve selection accuracy.
| Item Type: | Conference or Workshop Item |
|---|---|
| Extra Information: | ISBN:0-7695-2316-1 |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 12994 |
| Depositing User: | Hui Yang |
| Date Deposited: | 04 Feb 2009 01:27 |
| Last Modified: | 04 Oct 2016 10:17 |
| URI: | http://oro.open.ac.uk/id/eprint/12994 |
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