Abstract
Office applications are becoming a major pillar of today’s organizations since they are used to edit a vast amount of digital documents. Finding these office documents from disparate data sources that fit users’ need is an essential task in conducting organization activities. Traditional search tools that employ keyword and phrase matching between the query and search index alone tend to offer high recall and low precision. As the result, search users are faced with too many irrelevant results. In order to solve this problem, we propose a novel search system that effectively searches documents of some office applications by the search query whose definition is based on document type, search terms and semantic relationship between the search terms and the documents. We present a technique that collects search terms and their semantic relationship from the documents to generate the XML-based search indices. Furthermore, our query optimization algorithm is also presented.
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