Abstract
Traditional search tools that employ keyword and phrase matching between the query and search index alone tend to offer high recall and low precision. The search users are faced with too many irrelevant results. In order to solve this problem, we propose a novel search technique that effectively searches the target documents by the search query whose definition is based on the document type, search terms and the semantic relationship between the search terms and the target documents. We present a technique that collects search terms and their semantic relationship from office documents and generates XML-based search indices. The search system implementation and query response time evaluation are also discussed.
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Chatvichienchai, S., Tanaka, K. (2009). Bringing Precision to Office Document Search by Semantic Relationship Approach. In: Papasratorn, B., Chutimaskul, W., Porkaew, K., Vanijja, V. (eds) Advances in Information Technology. IAIT 2009. Communications in Computer and Information Science, vol 55. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10392-6_6
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DOI: https://doi.org/10.1007/978-3-642-10392-6_6
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