Status: Active project

Project Description:
Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used to model a person's current interests for improving search results, business intelligence or selecting appropriate advertisements. We are investigating the use of Wikipedia's articles and associated pages as a topic ontology for this purpose. The benefits of the approach are that the ontology terms are developed through a social process, maintained and kept current by the Wikipedia community, represent a consensus view, and have meaning that can be understood by reading the associated pages. We have demonstrated the use of Wikitology to improve the performance of an information retrieval system and as a source of evidence in a intra-document entity co-reference task.

Start Date: October 2007

End Date: August 2010

Principal Investigator:
Tim Finin
Anupam Joshi

Students:
Zareen Syed

Tags: semantic web, information retrieval, wikipedia

There are 3 associated publications:
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There are 2 associated resources:
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Research Areas:
 Information retrieval
 Knowledge Representation and Reasoning
 Language technology
 Semantic Web
 Social media