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Rewriting Queries for Web Searches That Use Local Expressions

Authors: Grütter, Rolf; Helming, Iris; Speich, Simon; Bernstein, Abraham;

Rewriting Queries for Web Searches That Use Local Expressions

Abstract

Users often enter a local expression to constrain a web search to a geographical place. Current search engines' capability to deal with expressions such as "close to" is, however, limited. This paper presents an approach that uses topological background knowledge to rewrite queries containing local expressions in a format better suited to standard search engines. To formalize local expressions, the Region Connection Calculus (RCC) is extended by additional relations, which are related to existing ones by means of composition rules. The approach is applied to web searches for communities in a part of Switzerland which are "close to" a reference place. Results show that query rewriting significantly improves recall of the searches. When dealing with approx. 30,000 role assertions, the time required to rewrite queries is in the range of a few seconds. Ways of dealing with a possible decrease of performance when operating on a larger knowledge base are discussed.

Country
Switzerland
Related Organizations
Keywords

10009 Department of Informatics, 1700 General Computer Science, 000 Computer science, knowledge & systems, 2614 Theoretical Computer Science

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green