Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | PICKME 2008 Personal Identification and Collaborations: Knowledge Mediation and Extraction |
| Untertitel | Proceedings of the 3rd Expert Finder Workshop on Personal Identification and Collaborations: Knowledge Mediation and Extraction (PICKME 2008) |
| Seiten | 19-30 |
| Seitenumfang | 12 |
| Publikationsstatus | Veröffentlicht - 2008 |
| Veranstaltung | 3rd Expert Finder Workshop on Personal Identification and Collaborations: Knowledge Mediation and Extraction, PICKME 2008 - Karlsruhe, Deutschland Dauer: 27 Okt. 2008 → 27 Okt. 2008 |
Publikationsreihe
| Name | CEUR Workshop Proceedings |
|---|---|
| Herausgeber (Verlag) | CEUR Workshop Proceedings |
| Band | 403 |
| ISSN (Print) | 1613-0073 |
Abstract
Expert retrieval has attracted deep attention because of the huge economical impact it can have on enterprises. The classical dataset on which to perform this task is company intranet (i.e., personal pages, e-mails, documents). We propose a new system for finding experts in the user's desktop content. Looking at private documents and e-mails of the user, the system builds expert profiles for all the people named in the desktop. This allows the search system to focus on the user's topics of interest thus generating satisfactory results on topics well represented on the desktop. We show, with an artificial test collection, how the desktop content is appropriate for finding experts on the topic the user is interested in.
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PICKME 2008 Personal Identification and Collaborations: Knowledge Mediation and Extraction: Proceedings of the 3rd Expert Finder Workshop on Personal Identification and Collaborations: Knowledge Mediation and Extraction (PICKME 2008). 2008. S. 19-30 2 (CEUR Workshop Proceedings; Band 403).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Finding experts on the semantic desktop
AU - Demartini, Gianluca
AU - Niederée, Claudia
PY - 2008
Y1 - 2008
N2 - Expert retrieval has attracted deep attention because of the huge economical impact it can have on enterprises. The classical dataset on which to perform this task is company intranet (i.e., personal pages, e-mails, documents). We propose a new system for finding experts in the user's desktop content. Looking at private documents and e-mails of the user, the system builds expert profiles for all the people named in the desktop. This allows the search system to focus on the user's topics of interest thus generating satisfactory results on topics well represented on the desktop. We show, with an artificial test collection, how the desktop content is appropriate for finding experts on the topic the user is interested in.
AB - Expert retrieval has attracted deep attention because of the huge economical impact it can have on enterprises. The classical dataset on which to perform this task is company intranet (i.e., personal pages, e-mails, documents). We propose a new system for finding experts in the user's desktop content. Looking at private documents and e-mails of the user, the system builds expert profiles for all the people named in the desktop. This allows the search system to focus on the user's topics of interest thus generating satisfactory results on topics well represented on the desktop. We show, with an artificial test collection, how the desktop content is appropriate for finding experts on the topic the user is interested in.
UR - http://www.scopus.com/inward/record.url?scp=84885626002&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84885626002
T3 - CEUR Workshop Proceedings
SP - 19
EP - 30
BT - PICKME 2008 Personal Identification and Collaborations: Knowledge Mediation and Extraction
T2 - 3rd Expert Finder Workshop on Personal Identification and Collaborations: Knowledge Mediation and Extraction, PICKME 2008
Y2 - 27 October 2008 through 27 October 2008
ER -