Wikipedia Pages as Entry Points for Book Search

A lot of the world's knowledge is stored in books, which, as a result

of recent mass-digitisation efforts, are increasingly available online.

Search engines, such as Google Books, provide mechanisms

for searchers to enter this vast knowledge space using queries as

entry points. In this paper, we view Wikipedia as a summary of

this world knowledge and aim to use this resource to guide users to

relevant books. Thus, we investigate possible ways of using Wikipedia

as an intermediary between the user's query and a collection

of books being searched. We experiment with traditional query expansion

techniques, exploiting Wikipedia articles as rich sources

of information that can augment the user's query. We then propose

a novel approach based on link distance in an extended Wikipedia

graph: we associate books with Wikipedia pages that cite these

books and use the link distance between these nodes and the pages

that match the user query as an estimation of a book's relevance to

the query. Our results show that a) classical query expansion using

terms extracted from query pages leads to increased precision, and

b) link distance between query and book pages in Wikipedia provides

a good indicator of relevance that can boost the retrieval score

of relevant books in the result ranking of a book search engine.

In  Proceedings of the Second ACM International Conference on Web Search and Data Mining (WSDM'09)

Publisher  Association for Computing Machinery, Inc.
Copyright © 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or permissions@acm.org. The definitive version of this paper can be found at ACM’s Digital Library --http://www.acm.org/dl/.

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