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<record>
  <title>Towards an on- Line Semantic Information Retrieval System based on Fuzzy Ontologies</title>
  <journal>Journal of Digital Information Management</journal>
  <author>Hajer Baazaoui, Marie-Aude Aufaure, Rania Soussi</author>
  <volume>6</volume>
  <issue>5</issue>
  <year>2008</year>
  <doi></doi>
  <url>http://www.dirf.org/jdim/v6n5a3.asp</url>
  <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.</abstract>
</record>
