Name
Abstract | ||
|---|---|---|
Wikipedia is a useful source of knowledge that has many applications in language processing and knowledge representation. The Wikipedia category graph can be compared with the class hierarchy in an ontology; it has some characteristics in common as well as some differences. In this paper, we present our approach for answering entity ranking queries from the Wikipedia. In particular, we explore how to make use of Wikipedia categories to improve entity ranking effectiveness. Our experiments show that using categories of example entities works significantly better than using loosely defined target categories. |
Year | Venue | Keywords |
|---|---|---|
2007 | australasian document computing symposium | digital libraries,information retrieval,knowledge representation |
Field | DocType | Volume |
Entity linking,Ontology,Data mining,Graph,Knowledge representation and reasoning,Information retrieval,Ranking,Computer science,Class hierarchy,Natural language processing,Artificial intelligence,Digital library | Journal | abs/0711.2 |
ISSN | Citations | PageRank |
Dans The 12th Australasian Document Computing Symposium (ADCS'07)
(2007) | 10 | 0.61 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| James A. Thom | 1 | 622 | 182.05 |
| Jovan Pehcevski | 2 | 199 | 13.72 |
| Anne-Marie Vercoustre | 3 | 331 | 81.83 |