![](bg9.png)
ing of files. Because there are files whose paths are
recorded in the access logs but that do not exist in
the file system, it is necessary to deal with the copy-
ing, moving, and renaming of files, by, for example,
obtaining system calls to files. The second point con-
cerns the various experiments. Because the experi-
mental target involved the access logs of students, we
only evaluated search requests such as those in Ta-
ble 2. We should perform experiments using a wider
variety of access logs. The third point is to improve
the calculation of the latent interfile relationships. Al-
though one relationship is a reference relationship, we
did not take account of the direction of the relation-
ship. Therefore, we should formulate the reference re-
lationship by deriving the direction of the relationship
from the access logs. The fourth point is to improve
the method of displaying the search results. Currently,
FRIDAL displays the files ordered by file point on a
line. However, there are cases where the user would
like a graphic structure comprising files and relation-
ships. Therefore, we should consider ways of display-
ing the search result for all search requests.
ACKNOWLEDGEMENTS
Part of this research was supported by CREST
of JST (Japan Science and Technology Agency),
a Grant-in-Aid for Scientific Research on Priority
Areas from MEXT of the Japanese Government
(#19024028,#21013017), and the 21
st
Century COE
Program Framework for Systematization and Appli-
cation of Large-Scale Knowledge Resources.
REFERENCES
Agrawal, N., Bolosky, W. J., Douceur, J. R., and Lorch,
J. R. (2007). A five-year study of file-system meta-
data. ACM Transactions on Storage, 3(3).
Barreau, D. and Nardi:, B. A. (1995). Finding and re-
minding – file organization from the desktop,. ACM
SIGCHI Bulletin, 27(3):39–43.
Blanc-Brude, T. and Scapin, D. L. (2007). What do people
recall about their documents?: Implications for desk-
top search tools. In Proc. Intl’ Conf. on Intelligent
User Interfaces(IUI2007), pages 102–111.
Chirita, P. A., Gaugaz, J., Costache, S., and Nejdl, W.
(2006). Desktop context detection using implicit feed-
back. In Proc. SIGIR 2006 Workshop on Personal In-
formation Management, pages 24–27.
Chirita, P. A., Gavriloaie, R., Ghita, S., Nejdl, W., and Paiu,
R. (2005). Activity based metadata for semantic desk-
top search. In Proc. Second European Semantic Web
Conference(ESWC 2005), pages 439–454.
Chirita, P. A. and Nejdl, W. (2006). Analyzing user be-
havior to rank desktop items. In Proc. Intl’ Symp. on
String Processing and Information Retrieval(SPIRE),
pages 86–97.
Cohen, S., Domshlak, C., and Zwerdling:, N. (2008). On
ranking techniques for desktop search. ACM Transac-
tions on Information Systems, 26.
Dumais, S., Cutrell, E., Cadiz, J. J., Jancke, G., Sarin, R.,
and Robbins, D. C. (2003). Stuff i’ve seen: A system
for personal information retrieval and re-use. In Proc.
SIGIR2003, pages 72–79.
Estraier, H. (2007). Hyper estraier: a full-
text search system for communities.
http://hyperestraier.sourceforge.net/.
Fertig, S., Freeman, E., and Gelernter, D. (1996). ”finding
and reminding” reconsidered,. ACM SIGCHI Bulletin,
28(1):66–69.
Freeman, E. and Gelernter, D. (1996). Lifestreams: A stor-
age model for personal data. ACM SIGMOD Bulletin,
25:80–86.
Gifford, D. K., Jouvelot, P., Sheldon, M. A., and James
W. O’Toole, J. (1991). Semantic file systems. In Proc.
ACM Symposium on Operating Systems Principles,,
pages 16–25.
Google (2010). Google image search,. http://images.
google.com/.
Hayes, B. (2002). Terabyte territory. American Scientist,
90(3):212–216.
Ishikawa, K., Morishima, A., and Tajima:, K. (2006). De-
velopment of a semantic file system for managing
large document spaces(in japanese). Technical report
DE2006-115, IEICE.
Namazu (2009). Namazu: a full-text search engine.
http://www.namazu.org/index.html.en.
Nejd, W. and Paiu, R. (2005). Desktop search – how con-
textual information influences search results and rank-
ings. In Proc. ACM SIGIR 2005 Workshop on Infor-
mation Retrieval in Context (IRiX), pages 29–32.
Ohsawa, R., Takashio, K., and Tokuda, H. (2006). Oredesk:
A tool for retrieving data history based on user opera-
tions. In Proc. Eighth IEEE International Symposium
on Multimedia (ISM’06), pages 762–765.
Page, L., Brin, S., Motwani, R., and Winograd, T. (1999).
The pagerank citation ranking: Bringing order to the
web. TR 1999-66, Stanford InfoLab.
Rekimoto, J. (1999). Timemachine computing: A time-
centric approach for the information environment. In
Proc. ACM UIST’99.
Soules, C. A. and Ganger:, G. R. (2005). Connections: Us-
ing context to enhance file search,. In Proc. ACM Sym-
posium on Operating Systems Principles, pages 119–
132.
Watanabe, T., Kobayashi, T., and Yokota:, H. (2008). A
method for searching keyword-lacking files based on
interfile relationships. In Proc. 16th Intl’ Conf. on
Cooperative Information Systems (CoopIS’08), pages
14–15.
Yee, K.-P., Swearingen, K., Li, K., and Hearst:, M. (2003).
Faceted metadata for image search and browsing,. In
Proc. CHI’03, pages 401–408.
ICSOFT 2010 - 5th International Conference on Software and Data Technologies
244