The 5th International Conference on Software and Data Technologies
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Athens, Greece
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Current information technologies require file systems to contain so manyfilesthat searching for desired files is a major problem. To address thisproblem,desktop search tools using full-text search techniques have beendeveloped. However, those files lacking any given keywords, such aspicture files and the source data of experiments, cannot be found bytools based on full-text searches, even if they are related to thekeywords. It is even harder to find files located in differentdirectories from the files that include the keywords. In this paper, wepropose a method for searching for files that lack keywordsbut do have an association with them. The proposed method derivesrelationship information from file access logs in the file server,based on the concept that those files opened by a user in a particulartime period arerelated. We have implemented the proposed method, and evaluated itseffectiveness by experiment. The evaluation results indicate that theproposed method is capable of searching keyword-lacking filesand has superior precision and recall compared with full-textand directory-search methods.Paper Keywords
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