Details
| Original language | English |
|---|---|
| Pages (from-to) | 37-54 |
| Number of pages | 18 |
| Journal | Journal of Web Semantics |
| Volume | 8 |
| Issue number | 1 |
| Publication status | Published - 13 Jan 2010 |
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.
Keywords
- Automatic metadata generation, Personal information management, Semantic Desktop search
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Networks and Communications
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Journal of Web Semantics, Vol. 8, No. 1, 13.01.2010, p. 37-54.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Leveraging personal metadata for Desktop search
T2 - The Beagle++ system
AU - Minack, Enrico
AU - Paiu, Raluca
AU - Costache, Stefania
AU - Demartini, Gianluca
AU - Gaugaz, Julien
AU - Ioannou, Ekaterini
AU - Chirita, Paul Alexandru
AU - Nejdl, Wolfgang
N1 - Funding information: This work was supported by the NEPOMUK 48 48 project funded by the European Commission under the 6th Framework Programme (IST Contract No. 027705). We would also like to thanks many colleagues within L3S for their important contributions.
PY - 2010/1/13
Y1 - 2010/1/13
N2 - 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.
AB - 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.
KW - Automatic metadata generation
KW - Personal information management
KW - Semantic Desktop search
UR - http://www.scopus.com/inward/record.url?scp=76449097117&partnerID=8YFLogxK
U2 - 10.1016/j.websem.2009.12.001
DO - 10.1016/j.websem.2009.12.001
M3 - Article
AN - SCOPUS:76449097117
VL - 8
SP - 37
EP - 54
JO - Journal of Web Semantics
JF - Journal of Web Semantics
SN - 1570-8268
IS - 1
ER -