Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the Latin American Web Conference, LA-WEB 2008 |
| Seiten | 29-38 |
| Seitenumfang | 10 |
| Publikationsstatus | Veröffentlicht - Okt. 2008 |
| Veranstaltung | Latin American Web Conference, LA-WEB 2008 - Vila Velha, Espirito Santo, Brasilien Dauer: 28 Okt. 2008 → 30 Okt. 2008 |
Publikationsreihe
| Name | Proceedings of the Latin American Web Conference, LA-WEB 2008 |
|---|
Abstract
Entity Ranking (ER) is a recently emerging search task in Information Retrieval, where the goal is not finding documents matching the query words, but instead finding entities which match types and attributes mentioned in the query. In this paper we propose a formal model to define entities as well as a complete ER system, providing examples of its application to enterprise, Web, and Wikipedia scenarios. Since searching for entities on Web scale repositories is an open challenge as the effectiveness of ranking is usually not satisfactory, we present a set of algorithms based on our model and evaluate their retrieval effectiveness. The results show that combining simple Link Analysis, Natural Language Processing, and Named Entity Recognition methods improves retrieval performance of entity search by over 53% for P@ 10 and 35% for MAP.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Sozialwissenschaften (insg.)
- Kommunikation
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Proceedings of the Latin American Web Conference, LA-WEB 2008. 2008. S. 29-38 4756159 (Proceedings of the Latin American Web Conference, LA-WEB 2008).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - A model for Ranking entities and its application to Wikipedia
AU - Demartini, Gianluca
AU - Firan, Claudiu S.
AU - Iofciu, Tereza
AU - Krestel, Ralf
AU - Nejdl, Wolfgang
PY - 2008/10
Y1 - 2008/10
N2 - Entity Ranking (ER) is a recently emerging search task in Information Retrieval, where the goal is not finding documents matching the query words, but instead finding entities which match types and attributes mentioned in the query. In this paper we propose a formal model to define entities as well as a complete ER system, providing examples of its application to enterprise, Web, and Wikipedia scenarios. Since searching for entities on Web scale repositories is an open challenge as the effectiveness of ranking is usually not satisfactory, we present a set of algorithms based on our model and evaluate their retrieval effectiveness. The results show that combining simple Link Analysis, Natural Language Processing, and Named Entity Recognition methods improves retrieval performance of entity search by over 53% for P@ 10 and 35% for MAP.
AB - Entity Ranking (ER) is a recently emerging search task in Information Retrieval, where the goal is not finding documents matching the query words, but instead finding entities which match types and attributes mentioned in the query. In this paper we propose a formal model to define entities as well as a complete ER system, providing examples of its application to enterprise, Web, and Wikipedia scenarios. Since searching for entities on Web scale repositories is an open challenge as the effectiveness of ranking is usually not satisfactory, we present a set of algorithms based on our model and evaluate their retrieval effectiveness. The results show that combining simple Link Analysis, Natural Language Processing, and Named Entity Recognition methods improves retrieval performance of entity search by over 53% for P@ 10 and 35% for MAP.
UR - http://www.scopus.com/inward/record.url?scp=63149174310&partnerID=8YFLogxK
U2 - 10.1109/LA-WEB.2008.8
DO - 10.1109/LA-WEB.2008.8
M3 - Conference contribution
AN - SCOPUS:63149174310
SN - 9780769533971
T3 - Proceedings of the Latin American Web Conference, LA-WEB 2008
SP - 29
EP - 38
BT - Proceedings of the Latin American Web Conference, LA-WEB 2008
T2 - Latin American Web Conference, LA-WEB 2008
Y2 - 28 October 2008 through 30 October 2008
ER -