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Analyzing Temporal Query for Improving Web Search

Rim Faiz
LARODEC, IHEC, University of Carthage, Tunisia
Abstract—Research of pertinent information on the web is a recent concern of Information Society. Processing based on statistics is no longer enough to handle (i.e. to search, translate, summarize...) relevant information from texts. The problem is how to extract knowledge taking into account document contents as well as the context of the query. Requests looking for events taking place during a certain time period (i.e. between 1990 and 2001) cannot provide yet the expected results. We propose a method to transform the query in order to "understand" its context and its temporal framework. Our method is validated by the SORTWEB System.

Index Terms—information extraction, semantics of queries, web search, temporal expressions identification  

Cite: Rim Faiz, "Analyzing Temporal Query for Improving Web Search," Journal of Emerging Technologies in Web Intelligence, Vol. 4, No. 3, pp. 234-239, August 2012. doi:10.4304/jetwi.4.3.234-239
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