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SIGMOD
2009
ACM

Do we mean the same?: disambiguation of extracted keyword queries for database search

9 years 10 months ago
Do we mean the same?: disambiguation of extracted keyword queries for database search
Users often try to accumulate information on a topic of interest from multiple information sources. In this case a user's informational need might be expressed in terms of an available relevant document, e.g. a web-page or an e-mail attachment, rather than a query. Database search engines are mostly adapted to the queries manually created by the users. In case a user's informational need is expressed in terms of a document, we need algorithms that map keyword queries automatically extracted from this document to the database content. In this paper we analyze the impact of selected document and database statistics on the effectiveness of keyword disambiguation for manually created as well as automatically extracted keyword queries. Our evaluation is performed using a set of user queries from the AOL query log and a set of queries automatically extracted from Wikipedia articles both executed against the Internet Movie Database (IMDB). Our experimental results show that (1) kno...
Elena Demidova, Irina Oelze, Peter Fankhauser
Added 05 Dec 2009
Updated 05 Dec 2009
Type Conference
Year 2009
Where SIGMOD
Authors Elena Demidova, Irina Oelze, Peter Fankhauser
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