Contextual Query based on Segmentation and Clustering of Selected Documents for Acquiring Web Documents for Supporting Knowledge Management

摘要

The Internet is a valuable source of information whose volume of data and number of accesses grows every day. Web search engines have a key role in the discovery of relevant information, but this kind of search is usually performed using keywords and the results do not consider the context. This paper describes the use of information extraction techniques applied in previously defined resources in order to expand the queries made by users and run these expanded queries in web search engines, getting more useful search results, considering the domain context of the required information. A prototype was developed according to the proposed strategy and a case study was conducted in a Brazilian public institution. The results show that the proposed approach can be used in a corporative environment to help the execution of contextual search activities with good results.