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A model for Ranking entities and its application to Wikipedia
Abstract Entity Ranking (ER) is a recently emergingEntity 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.rch by over 53% for P@ 10 and 35% for MAP.
Abstractsub Entity Ranking (ER) is a recently emergingEntity 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.rch by over 53% for P@ 10 and 35% for MAP.
Bibtextype inproceedings  +
Doi 10.1109/LA-WEB.2008.8  +
Has author Gianluca Demartini + , Firan C.S. + , Tereza Iofciu + , Ralf Krestel + , Wolfgang Nejdl +
Has extra keyword Computational linguistics + , Information retrieval + , Information services + , Entity rankings + , Formal models + , Link analysis + , Named entity recognition + , Natural Language Processing + , Query words + , Retrieval effectiveness + , Retrieval performance + , Search tasks + , Wikipedia + , Natural language processing systems +
Isbn 9780769533971  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 29–38  +
Published in Proceedings of the Latin American Web Conference, LA-WEB 2008 +
Title A model for Ranking entities and its application to Wikipedia +
Type conference paper  +
Year 2008 +
Creation dateThis property is a special property in this wiki. 6 November 2014 21:34:14  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 21:34:14  +
DateThis property is a special property in this wiki. 2008  +
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