Paper Info
Title
Using Wikipedia Categories and Links in Entity Ranking
Abstract
This paper describes the participation of the INRIA group in the INEX 2007 XML entity ranking and ad hoc tracks. We developed a system for ranking Wikipedia entities in answer to a query. Our approach utilises the known categories, the link structure of Wikipedia, as well as the link co-occurrences with the examples (when provided) to improve the effectiveness of entity ranking. Our experiments on both the training and the testing data sets demonstrate that the use of categories and the link structure of Wikipedia can significantly improve entity retrieval effectiveness. We also use our system for the ad hoc tasks by inferring target categories from the title of the query. The results were worse than when using a full-text search engine, which confirms our hypothesis that ad hoc retrieval and entity retrieval are two different tasks.
Year
DOI
Venue
2007
10.1007/978-3-540-85902-4_28
INEX
Keywords
Field
DocType
full-text search engine,ranking wikipedia entity,wikipedia categories,link co-occurrences,inria group,link structure,entity ranking,entity retrieval,entity retrieval effectiveness,xml entity ranking,different task,search engine,xml,wikipedia
Search engine,Information retrieval,Ranking,XML,Computer science,Test data,XML retrieval
Conference
Volume
ISSN
Citations 
4862
0302-9743
18
PageRank 
References 
Authors
0.98
13
3
Name
Order
Citations
PageRank
Anne-Marie Vercoustre133181.83
Jovan Pehcevski219913.72
James A. Thom3622182.05