Abstract
A considerable fraction of the web queries contain named entities. This, coupled with the fact that a proper name might refer to multiple entities, imposes the ever-increasing need that search engines handle efficiently named entity queries. In this paper, we present a technique that automatically identifies the distinct subject classes to which a named entity query might refer and selects a set of appropriate facets for denoting the query properties within every class. We also suggest a method that examines the distribution of the identified query facets within the contents of the query matching pages and groups search results according to their entity denotation types. Our preliminary study shows that our technique identifies useful facets for representing the named entity query properties in each of their referenced subject classes.
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Stamou, S., Kozanidis, L. (2009). Towards Faceted Search for Named Entity Queries. In: Chen, L., et al. Advances in Web and Network Technologies, and Information Management. APWeb WAIM 2009 2009. Lecture Notes in Computer Science, vol 5731. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03996-6_10
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DOI: https://doi.org/10.1007/978-3-642-03996-6_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03995-9
Online ISBN: 978-3-642-03996-6
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