Details
| Original language | English |
|---|---|
| Title of host publication | ESWC 2005: The Semantic Web |
| Subtitle of host publication | Research and Applications |
| Pages | 439-454 |
| Number of pages | 16 |
| Volume | 3532 |
| ISBN (electronic) | 978-3-540-31547-6 |
| Publication status | Published - 2005 |
| Event | Second European Sematic Web Conference, ESWC 2005 - The Semantic Web: Research and Applications - Crete, Greece Duration: 29 May 2005 → 1 Jun 2005 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer Verlag |
| Volume | 3532 |
| ISSN (Print) | 0302-9743 |
Abstract
With increasing storage capacities on current PCs, searching the World Wide Web has ironically become more efficient than searching one's own personal computer. The recently introduced desktop search engines are a first step towards coping with this problem, but not yet a satisfying solution. The reason for that is that desktop search is actually quite different from its web counter-part. Documents on the desktop are not linked to each other in a way comparable to the web, which means that result ranking is poor or even inexistent, because algorithms like PageRank cannot be used for desktop search. On the other hand, desktop search could potentially profit from a lot of implicit and explicit semantic information available in emails, folder hierarchies, browser cache contexts and others. This paper investigates how to extract and store these activity based context information explicitly as RDF metadata and how to use them, as well as additional background information and ontologies, to enhance desktop search.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
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ESWC 2005: The Semantic Web: Research and Applications . Vol. 3532 2005. p. 439-454 (Lecture Notes in Computer Science; Vol. 3532).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Activity based metadata for semantic desktop search
AU - Chirita, Paul Alexandru
AU - Gavriloaie, Rita
AU - Ghita, Stefania
AU - Nejdl, Wolfgang
AU - Paiu, Raluca
PY - 2005
Y1 - 2005
N2 - With increasing storage capacities on current PCs, searching the World Wide Web has ironically become more efficient than searching one's own personal computer. The recently introduced desktop search engines are a first step towards coping with this problem, but not yet a satisfying solution. The reason for that is that desktop search is actually quite different from its web counter-part. Documents on the desktop are not linked to each other in a way comparable to the web, which means that result ranking is poor or even inexistent, because algorithms like PageRank cannot be used for desktop search. On the other hand, desktop search could potentially profit from a lot of implicit and explicit semantic information available in emails, folder hierarchies, browser cache contexts and others. This paper investigates how to extract and store these activity based context information explicitly as RDF metadata and how to use them, as well as additional background information and ontologies, to enhance desktop search.
AB - With increasing storage capacities on current PCs, searching the World Wide Web has ironically become more efficient than searching one's own personal computer. The recently introduced desktop search engines are a first step towards coping with this problem, but not yet a satisfying solution. The reason for that is that desktop search is actually quite different from its web counter-part. Documents on the desktop are not linked to each other in a way comparable to the web, which means that result ranking is poor or even inexistent, because algorithms like PageRank cannot be used for desktop search. On the other hand, desktop search could potentially profit from a lot of implicit and explicit semantic information available in emails, folder hierarchies, browser cache contexts and others. This paper investigates how to extract and store these activity based context information explicitly as RDF metadata and how to use them, as well as additional background information and ontologies, to enhance desktop search.
UR - http://www.scopus.com/inward/record.url?scp=26444593407&partnerID=8YFLogxK
U2 - 10.1007/11431053_30
DO - 10.1007/11431053_30
M3 - Conference contribution
AN - SCOPUS:26444593407
SN - 978-3-540-26124-7
VL - 3532
T3 - Lecture Notes in Computer Science
SP - 439
EP - 454
BT - ESWC 2005: The Semantic Web
T2 - Second European Sematic Web Conference, ESWC 2005 - The Semantic Web: Research and Applications
Y2 - 29 May 2005 through 1 June 2005
ER -