NDLI: Querying Wikipedia documents and relationships

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Querying Wikipedia documents and relationships

Content Provider	ACM Digital Library
Author	Nguyen, Huong Nguyen, Hoa Freire, Juliana Nguyen, Thanh
Abstract	Wikipedia has become an important source of information which is growing very rapidly. However, the existing infrastructure for querying this information is limited and often ignores the inherent structure in the information and links across documents. In this paper, we present a new approach for querying Wikipedia content that supports a simple, yet expressive query interfaces that allow both keyword and structured queries. A unique feature of our approach is that, besides returning documents that match the queries, it also exploits relationships among documents to return richer, multi-document answers. We model Wikipedia as a graph and cast the problem of finding answers for queries as graph search. To guide the answer-search process, we propose a novel weighting scheme to identify important nodes and edges in the graph. By leveraging the structured information available in infoboxes, our approach supports queries that specify constraints over this structure, and we propose a new search algorithm to support these queries. We evaluate our approach using a representative subset of Wikipedia documents and present results which show that our approach is effective and derives high-quality answers.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	9781450301862
DOI	10.1145/1859127.1859133
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-06-06
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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