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18th International Conference on Database and Expert Systems Applications (DEXA 2007)
KoMIS: An Ontology-Based Knowledge Management System for Industrial Safety
Regensburg, Germany
September 03-September 07
ISBN: 0-7695-2932-1
| ASCII Text | x | ||
| Amjad Abou Assali, Dominique Lenne, Bruno Debray, "KoMIS: An Ontology-Based Knowledge Management System for Industrial Safety," 2012 23rd International Workshop on Database and Expert Systems Applications, pp. 475-479, 18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/DEXA.2007.34, author = {Amjad Abou Assali and Dominique Lenne and Bruno Debray}, title = {KoMIS: An Ontology-Based Knowledge Management System for Industrial Safety}, journal ={2012 23rd International Workshop on Database and Expert Systems Applications}, volume = {0}, year = {2007}, issn = {1529-4188}, pages = {475-479}, doi = {http://doi.ieeecomputersociety.org/10.1109/DEXA.2007.34}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 23rd International Workshop on Database and Expert Systems Applications TI - KoMIS: An Ontology-Based Knowledge Management System for Industrial Safety SN - 1529-4188 SP475 EP479 A1 - Amjad Abou Assali, A1 - Dominique Lenne, A1 - Bruno Debray, PY - 2007 KW - null VL - 0 JA - 2012 23rd International Workshop on Database and Expert Systems Applications ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2007.34
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.
Citation:
Amjad Abou Assali, Dominique Lenne, Bruno Debray, "KoMIS: An Ontology-Based Knowledge Management System for Industrial Safety," dexa, pp.475-479, 18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007
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