Djida Bahloul, Youssef Amghar, Pierre Maret


The work presented in this paper addresses a project of the Computer Centre CIRTIL who supported it. This company wants to save and capitalize its knowledge and its know-how about the production activities, especially concerning the technical incidents relating to software applications encountered during the exploitation time. Indeed using a well accessing documents base, actors will be able to better solve problems. Our purpose is to focus on ontology-based framework for indexing documents. The domain ontology OntoCIRTIL has a structure which supports a semantic model based on semantic links and inference mechanisms. In this paper, we present a new model called S3 which permits to model knowledge in upstream and index documents (or formalized knowledge) in downstream. To illustrate partial results, this model is then applied to OntoCIRTIL.


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Paper Citation

in Harvard Style

Bahloul D., Amghar Y. and Maret P. (2004). ONTOLOGY-BASED FRAMEWORK FOR DOCUMENT INDEXING . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 269-274. DOI: 10.5220/0002606302690274

in Bibtex Style

author={Djida Bahloul and Youssef Amghar and Pierre Maret},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},

in EndNote Style

JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
SN - 972-8865-00-7
AU - Bahloul D.
AU - Amghar Y.
AU - Maret P.
PY - 2004
SP - 269
EP - 274
DO - 10.5220/0002606302690274