@article {123,
	title = {Towards an on- Line semantic information retrieval system based on Fuzzy Ontologies},
	journal = {Journal of Digital Information Management},
	volume = {6},
	year = {2008},
	note = {Cited By (since 1996):7Export Date: 10 July 2014},
	month = {2008},
	pages = {375 - 385},
	abstract = {The huge number of available documents on the Web makes finding relevant ones a challenge. Thus, searching for information becomes more and more complex because of the growing volume of data and of its lack of structure. The quality of results that traditional full-text search engines provide is still not optimal for many types of user queries. Especially, the ambiguities of natural languages and abstract concepts are handled inadequately by full-text search engines. Ontologies provide a solution to these problems. They can help a user to find documents related to a specific domain. This paper proposes a new retrieval system based on ontologies. This system integrates results from traditional full-text engines, and thus supports a gradual transition from classical full-text search engines to ontology-based ones.},
	keywords = {Fuzzy ontologies, In formation retrieval, Ontologies, Semantic web},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79952825348\&partnerID=40\&md5=8f3f224f39ca945c15dffeedf6099fad},
	author = {Baazaoui, H. and Aufaure, M.-A. and Soussi, R.}
}
