Desktop searches based on context visualization using file operation logs

Mitsuhiro Matsumoto, Shinichi Okano, Tetsuo Morita, Masayuki Numao, Satoshi Kurihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It has recently become possible for personal computer(PC) users to use large-capacity storage media in business and home situations. As various kinds of tasks are processed with PCs, too many files have been continuously generated. However, most files are not effectively used and we can currently only basically use keyword-based searches. Therefore, when we search for files with keyword searches and several similar files are found, it is impossible to know which file corresponds to which task. If we can recall a context corresponding to individual files and tasks in this situation, we may be able to associate each file with its task, and finally find the target file and its task easily. We will explain the methodology we used for extracting file-operation behaviors and visualizing the behavior of users, which was more efficient than with the conventional keyword-based searching approach, to recall the context and identify the target file and its task.

Original languageEnglish
Title of host publicationProceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011
Pages156-162
Number of pages7
DOIs
Publication statusPublished - 2011 Jun 13
Externally publishedYes
Event11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011 - Innsbruck, Austria
Duration: 2011 Feb 142011 Feb 16

Other

Other11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011
CountryAustria
CityInnsbruck
Period11/2/1411/2/16

Fingerprint

Personal computers
Visualization
Industry

Keywords

  • Desktop search
  • File event network
  • File-access time
  • Keywords extraction
  • Visualization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications

Cite this

Matsumoto, M., Okano, S., Morita, T., Numao, M., & Kurihara, S. (2011). Desktop searches based on context visualization using file operation logs. In Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011 (pp. 156-162) https://doi.org/10.2316/P.2011.717-058

Desktop searches based on context visualization using file operation logs. / Matsumoto, Mitsuhiro; Okano, Shinichi; Morita, Tetsuo; Numao, Masayuki; Kurihara, Satoshi.

Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011. 2011. p. 156-162.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Matsumoto, M, Okano, S, Morita, T, Numao, M & Kurihara, S 2011, Desktop searches based on context visualization using file operation logs. in Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011. pp. 156-162, 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011, Innsbruck, Austria, 11/2/14. https://doi.org/10.2316/P.2011.717-058
Matsumoto M, Okano S, Morita T, Numao M, Kurihara S. Desktop searches based on context visualization using file operation logs. In Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011. 2011. p. 156-162 https://doi.org/10.2316/P.2011.717-058
Matsumoto, Mitsuhiro ; Okano, Shinichi ; Morita, Tetsuo ; Numao, Masayuki ; Kurihara, Satoshi. / Desktop searches based on context visualization using file operation logs. Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011. 2011. pp. 156-162
@inproceedings{cdd24dd62f984bb6960b77eaf467ed72,
title = "Desktop searches based on context visualization using file operation logs",
abstract = "It has recently become possible for personal computer(PC) users to use large-capacity storage media in business and home situations. As various kinds of tasks are processed with PCs, too many files have been continuously generated. However, most files are not effectively used and we can currently only basically use keyword-based searches. Therefore, when we search for files with keyword searches and several similar files are found, it is impossible to know which file corresponds to which task. If we can recall a context corresponding to individual files and tasks in this situation, we may be able to associate each file with its task, and finally find the target file and its task easily. We will explain the methodology we used for extracting file-operation behaviors and visualizing the behavior of users, which was more efficient than with the conventional keyword-based searching approach, to recall the context and identify the target file and its task.",
keywords = "Desktop search, File event network, File-access time, Keywords extraction, Visualization",
author = "Mitsuhiro Matsumoto and Shinichi Okano and Tetsuo Morita and Masayuki Numao and Satoshi Kurihara",
year = "2011",
month = "6",
day = "13",
doi = "10.2316/P.2011.717-058",
language = "English",
isbn = "9780889868632",
pages = "156--162",
booktitle = "Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011",

}

TY - GEN

T1 - Desktop searches based on context visualization using file operation logs

AU - Matsumoto, Mitsuhiro

AU - Okano, Shinichi

AU - Morita, Tetsuo

AU - Numao, Masayuki

AU - Kurihara, Satoshi

PY - 2011/6/13

Y1 - 2011/6/13

N2 - It has recently become possible for personal computer(PC) users to use large-capacity storage media in business and home situations. As various kinds of tasks are processed with PCs, too many files have been continuously generated. However, most files are not effectively used and we can currently only basically use keyword-based searches. Therefore, when we search for files with keyword searches and several similar files are found, it is impossible to know which file corresponds to which task. If we can recall a context corresponding to individual files and tasks in this situation, we may be able to associate each file with its task, and finally find the target file and its task easily. We will explain the methodology we used for extracting file-operation behaviors and visualizing the behavior of users, which was more efficient than with the conventional keyword-based searching approach, to recall the context and identify the target file and its task.

AB - It has recently become possible for personal computer(PC) users to use large-capacity storage media in business and home situations. As various kinds of tasks are processed with PCs, too many files have been continuously generated. However, most files are not effectively used and we can currently only basically use keyword-based searches. Therefore, when we search for files with keyword searches and several similar files are found, it is impossible to know which file corresponds to which task. If we can recall a context corresponding to individual files and tasks in this situation, we may be able to associate each file with its task, and finally find the target file and its task easily. We will explain the methodology we used for extracting file-operation behaviors and visualizing the behavior of users, which was more efficient than with the conventional keyword-based searching approach, to recall the context and identify the target file and its task.

KW - Desktop search

KW - File event network

KW - File-access time

KW - Keywords extraction

KW - Visualization

UR - http://www.scopus.com/inward/record.url?scp=79958157455&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79958157455&partnerID=8YFLogxK

U2 - 10.2316/P.2011.717-058

DO - 10.2316/P.2011.717-058

M3 - Conference contribution

SN - 9780889868632

SP - 156

EP - 162

BT - Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011

ER -