Abstract
A vast amount of information is available on the WWW. There are a lot of Web pages whose content is ‘local’ and interesting for people in a very narrow regional area. Usually, users search for information with search engines, even though finding or excluding local information may still be difficult. In this paper,we propose a newinformation retrieval method that is based on the localness degree for discovering or excluding local information from theWWW. Localness degree is a new notion for estimating the local dependence and ubiquitous nature of Web pages. The localness degree is computed by 1) a content analysis of the Web page itself, to determine the frequency of occurrence of geographical words, and the geographical area (i.e., latitude and longitude) covered by the location information given on the page, and 2) a comparison of the Web page with other pages with respect to daily (ubiquitous) content.We also show some results of our preliminary experiments of the retrieval method based on the localness degree.
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Matsumoto, C., Ma, Q., Tanaka, K. (2002). Web Information Retrieval Based on the Localness Degree. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2002. Lecture Notes in Computer Science, vol 2453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46146-9_18
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DOI: https://doi.org/10.1007/3-540-46146-9_18
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