Description Logics-Based Modelling for Precise Information Retrieval

In professional environments, users have a good knowledge about their domain of interest as well as the documents they consult regularly. In order to carry out their professional tasks, they need an Information Retrieval System (IRS) that allows them to find a precise answer to their information needs. Generally speaking, they know about documents content that may satisfy their information needs. Thus, during the retrieval task, they try to complete the information that they have and that is insufficient. Their information needs are in this case formulated through precise queries. The qualifier ”precise” denotes a query that contains: i) a very specialised terminology and ii) a complex structure. Through a precise query, a user can describe his information need using explicit semantic relationships between the descriptors of his query. He also can use boolean operators or quantification (at least, all, etc.) in order to specify the number of elements that the desired document should contain. In order to illustrate some characteristics of precise queries, we present here some query examples.

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