Activity based links as a ranking factor in semantic desktop search

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Julien Gaugaz
  • Stefania Costache
  • Paul Alexandru Chirita
  • Claudiu S. Firan
  • Wolfgang Nejdl

Research Organisations

External Research Organisations

  • Adobe Systems Incorporated
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Details

Original languageEnglish
Title of host publicationProceedings of the Latin American Web Conference, LA-WEB 2008
PublisherIEEE Computer Society
Pages49-57
Number of pages9
ISBN (print)9780769533971
Publication statusPublished - Oct 2008
EventLatin American Web Conference, LA-WEB 2008 - Vila Velha, Espirito Santo, Brazil
Duration: 28 Oct 200830 Oct 2008

Publication series

NameProceedings of the Latin American Web Conference, LA-WEB 2008

Abstract

Existing desktop search systems, developed as a reaction to the rapidly increasing storage capacities of our hard disks, are an important step towards more efficient personal information management, yet they offer an incomplete solution. The industrial ones are capable of indexing a vast amount of file types, and the research prototypes can add very comprehensive metadata to increase recall. However, they all rely only on basic ranking techniques, as TFx-IDF, which are comparable to the first generation of web search engines. In this paper we propose to connect semantically related desktop items by exploiting activity information about accesses to local resources. We investigate and evaluate in detail the possibilities to translate this information into a desktop linkage structure, and we propose several algorithms that exploit these newly created links in order to efficiently rank desktop items. Finally, we show that the ranking results based on the user activity links surpass both TFxIDF ranking scores, as well as the rankings generated using the schema based approaches we devised in our previous work.

ASJC Scopus subject areas

Cite this

Activity based links as a ranking factor in semantic desktop search. / Gaugaz, Julien; Costache, Stefania; Chirita, Paul Alexandru et al.
Proceedings of the Latin American Web Conference, LA-WEB 2008. IEEE Computer Society, 2008. p. 49-57 4756161 (Proceedings of the Latin American Web Conference, LA-WEB 2008).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Gaugaz, J, Costache, S, Chirita, PA, Firan, CS & Nejdl, W 2008, Activity based links as a ranking factor in semantic desktop search. in Proceedings of the Latin American Web Conference, LA-WEB 2008., 4756161, Proceedings of the Latin American Web Conference, LA-WEB 2008, IEEE Computer Society, pp. 49-57, Latin American Web Conference, LA-WEB 2008, Vila Velha, Espirito Santo, Brazil, 28 Oct 2008. https://doi.org/10.1109/LA-WEB.2008.7
Gaugaz, J., Costache, S., Chirita, P. A., Firan, C. S., & Nejdl, W. (2008). Activity based links as a ranking factor in semantic desktop search. In Proceedings of the Latin American Web Conference, LA-WEB 2008 (pp. 49-57). Article 4756161 (Proceedings of the Latin American Web Conference, LA-WEB 2008). IEEE Computer Society. https://doi.org/10.1109/LA-WEB.2008.7
Gaugaz J, Costache S, Chirita PA, Firan CS, Nejdl W. Activity based links as a ranking factor in semantic desktop search. In Proceedings of the Latin American Web Conference, LA-WEB 2008. IEEE Computer Society. 2008. p. 49-57. 4756161. (Proceedings of the Latin American Web Conference, LA-WEB 2008). doi: 10.1109/LA-WEB.2008.7
Gaugaz, Julien ; Costache, Stefania ; Chirita, Paul Alexandru et al. / Activity based links as a ranking factor in semantic desktop search. Proceedings of the Latin American Web Conference, LA-WEB 2008. IEEE Computer Society, 2008. pp. 49-57 (Proceedings of the Latin American Web Conference, LA-WEB 2008).
Download
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title = "Activity based links as a ranking factor in semantic desktop search",
abstract = "Existing desktop search systems, developed as a reaction to the rapidly increasing storage capacities of our hard disks, are an important step towards more efficient personal information management, yet they offer an incomplete solution. The industrial ones are capable of indexing a vast amount of file types, and the research prototypes can add very comprehensive metadata to increase recall. However, they all rely only on basic ranking techniques, as TFx-IDF, which are comparable to the first generation of web search engines. In this paper we propose to connect semantically related desktop items by exploiting activity information about accesses to local resources. We investigate and evaluate in detail the possibilities to translate this information into a desktop linkage structure, and we propose several algorithms that exploit these newly created links in order to efficiently rank desktop items. Finally, we show that the ranking results based on the user activity links surpass both TFxIDF ranking scores, as well as the rankings generated using the schema based approaches we devised in our previous work.",
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