Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 534-567 |
| Seitenumfang | 34 |
| Fachzeitschrift | Information Retrieval |
| Jahrgang | 13 |
| Ausgabenummer | 5 |
| Publikationsstatus | Veröffentlicht - 18 Mai 2010 |
Abstract
Entity Retrieval (ER)-in comparison to classical search-aims at finding individual entities instead of relevant documents. Finding a list of entities requires therefore techniques different to classical search engines. In this paper, we present a model to describe entities more formally and how an ER system can be build on top of it. We compare different approaches designed for finding entities in Wikipedia and report on results using standard test collections. An analysis of entity-centric queries reveals different aspects and problems related to ER and shows limitations of current systems performing ER with Wikipedia. It also indicates which approaches are suitable for which kinds of queries.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Information systems
- Sozialwissenschaften (insg.)
- Bibliotheks- und Informationswissenschaften
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in: Information Retrieval, Jahrgang 13, Nr. 5, 18.05.2010, S. 534-567.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Why finding entities in Wikipedia is difficult, sometimes
AU - Demartini, Gianluca
AU - Firan, Claudiu S.
AU - Iofciu, Tereza
AU - Krestel, Ralf
AU - Nejdl, Wolfgang
N1 - Funding information: Acknowledgments This work is partially supported by the EU Large-scale Integrating Projects OKKAM11 - Enabling a Web of Entities (contract no. ICT-215032), PHAROS12 (IST contract no. 045035), and LivingKnowledge13 (contract no. 231126).
PY - 2010/5/18
Y1 - 2010/5/18
N2 - Entity Retrieval (ER)-in comparison to classical search-aims at finding individual entities instead of relevant documents. Finding a list of entities requires therefore techniques different to classical search engines. In this paper, we present a model to describe entities more formally and how an ER system can be build on top of it. We compare different approaches designed for finding entities in Wikipedia and report on results using standard test collections. An analysis of entity-centric queries reveals different aspects and problems related to ER and shows limitations of current systems performing ER with Wikipedia. It also indicates which approaches are suitable for which kinds of queries.
AB - Entity Retrieval (ER)-in comparison to classical search-aims at finding individual entities instead of relevant documents. Finding a list of entities requires therefore techniques different to classical search engines. In this paper, we present a model to describe entities more formally and how an ER system can be build on top of it. We compare different approaches designed for finding entities in Wikipedia and report on results using standard test collections. An analysis of entity-centric queries reveals different aspects and problems related to ER and shows limitations of current systems performing ER with Wikipedia. It also indicates which approaches are suitable for which kinds of queries.
KW - Algorithms
KW - Entity search
KW - Evaluation
KW - Experimentation
KW - Model
UR - http://www.scopus.com/inward/record.url?scp=77957169822&partnerID=8YFLogxK
U2 - 10.1007/s10791-010-9135-7
DO - 10.1007/s10791-010-9135-7
M3 - Article
AN - SCOPUS:77957169822
VL - 13
SP - 534
EP - 567
JO - Information Retrieval
JF - Information Retrieval
SN - 1386-4564
IS - 5
ER -