Authors:
Tetsutaro Watanabe
1
;
Takashi Kobayashi
2
and
Haruo Yokota
1
Affiliations:
1
Tokyo Institute of Technology, Japan
;
2
Nagoya University, Japan
Keyword(s):
Desktop search, File retrieval, Access log analysis, Latent inter-file relationship.
Related
Ontology
Subjects/Areas/Topics:
Business Analytics
;
Data and Information Retrieval
;
Data Engineering
;
Media Search and Retrieval
Abstract:
Current information technologies require file systems to contain so many files that searching for desired files is a major problem. To address this problem, desktop search tools using full-text search techniques have been developed. However, those files lacking any given keywords, such as picture files and the source data of experiments, cannot be found by tools based on full-text searches, even if they are related to the keywords. It is even harder to find files located in different directories from the files that include the keywords. In this paper, we propose a method for searching for files that lack keywords but do have an association with them. The proposed method derives relationship information from file access logs in the file server, based on the concept that those files opened by a user in a particular time period are related. We have implemented the proposed method, and evaluated its effectiveness by experiment. The evaluation results indicate that the proposed method is
capable of searching keyword-lacking files and has superior precision and recall compared with full-text and directory-search methods.
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