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Yang, Hui and Zhang, Minjie
(2005).
DOI: https://doi.org/10.1109/ICITA.2005.199
URL: http://portal.acm.org/citation.cfm?id=1078944
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.
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About
- Item ORO ID
- 12994
- Item Type
- Conference or Workshop Item
- Extra Information
- ISBN:0-7695-2316-1
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Depositing User
- Hui Yang