A Semantic Similarity Measure for the SIMS Framework
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Ontology learning from text: A look back and into the future
ACM Computing Surveys (CSUR)
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This paper presents an ontology-based knowledge management system for indexing and retrieving information about a domain-specific corpus of resources in an industrial enterprise. From our ongoing project KoMIS (Knowledge Management for Industrial Safety), we introduce in this paper our approach to index the internal resources of an enterprise using two ontologies; a domain ontology that describes the terms of the studied domain (the industrial safety domain), and an application ontology that describes the various types of indexed resources. In our indexing approach, the resulting index is an RDF file that can be interrogated using one of the RDF query languages. An ontology-based information retrieval system is built as a Web application to help and guide users in their research for resources. Thanks to our indexing and retrieval model, the returned Web page of results is built dynamically so that each potential modification of the application ontology will be taken into account without affecting the internal structure of the information retrieval system.