Search on PCs has become less efficient than searching the Web due to the increasing amount of stored data. In this paper we present an innovative Desktop search solution, which relies on extracted metadata, context information as well as additional background information for improving Desktop search results. We also present a practical application of this approach—the extensible Beagle++ toolbox. To prove the validity of our approach, we conducted a series of experiments. By comparing our results against the ones of a regular Desktop search solution – Beagle – we show an improved quality in search and overall performance.
%0 Journal Article
%1 Minack2010
%A Minack, Enrico
%A Paiu, Raluca
%A Costache, Stefania
%A Demartini, Gianluca
%A Gaugaz, Julien
%A Ioannou, Ekaterini
%A Chirita, Paul-Alexandru
%A Nejdl, Wolfgang
%D 2010
%J Web Semant. Sci. Serv. Agents World Wide Web
%K automatic_metadata_generation personal_information_management semantic_desktop_search phd
%N 1
%P 37--54
%R 10.1016/j.websem.2009.12.001
%T Leveraging Personal Metadata for Desktop Search: The Beagle++ System
%U http://dx.doi.org/10.1016/j.websem.2009.12.001
%V 8
%X Search on PCs has become less efficient than searching the Web due to the increasing amount of stored data. In this paper we present an innovative Desktop search solution, which relies on extracted metadata, context information as well as additional background information for improving Desktop search results. We also present a practical application of this approach—the extensible Beagle++ toolbox. To prove the validity of our approach, we conducted a series of experiments. By comparing our results against the ones of a regular Desktop search solution – Beagle – we show an improved quality in search and overall performance.
@article{Minack2010,
abstract = {Search on PCs has become less efficient than searching the Web due to the increasing amount of stored data. In this paper we present an innovative Desktop search solution, which relies on extracted metadata, context information as well as additional background information for improving Desktop search results. We also present a practical application of this approach—the extensible Beagle++ toolbox. To prove the validity of our approach, we conducted a series of experiments. By comparing our results against the ones of a regular Desktop search solution – Beagle – we show an improved quality in search and overall performance.},
added-at = {2013-12-17T09:47:46.000+0100},
author = {Minack, Enrico and Paiu, Raluca and Costache, Stefania and Demartini, Gianluca and Gaugaz, Julien and Ioannou, Ekaterini and Chirita, Paul-Alexandru and Nejdl, Wolfgang},
biburl = {https://www.bibsonomy.org/bibtex/2926eeb14ba420cda5cd5d1498dfba024/jullybobble},
doi = {10.1016/j.websem.2009.12.001},
interhash = {cf3e4cd7f041df3fb3c0dff05d743e38},
intrahash = {926eeb14ba420cda5cd5d1498dfba024},
issn = {15708268},
journal = {Web Semant. Sci. Serv. Agents World Wide Web},
keywords = {automatic_metadata_generation personal_information_management semantic_desktop_search phd},
month = mar,
number = 1,
pages = {37--54},
timestamp = {2014-07-27T15:43:19.000+0200},
title = {{Leveraging Personal Metadata for Desktop Search: The Beagle++ System}},
url = {http://dx.doi.org/10.1016/j.websem.2009.12.001},
volume = 8,
year = 2010
}