Entity Type Disambiguation in User Queries

Barbara Bazzanella (), Heiko Stoermer () and Paolo Bouquet ()
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Barbara Bazzanella: University of Trento, DISCOF, Trento, Italy
Heiko Stoermer: Fondazione Bruno Kessler, DKM Unit, Trento, Italy
Paolo Bouquet: University of Trento, DISI, Trento, Italy

Journal of Information & Knowledge Management (JIKM), 2011, vol. 10, issue 03, 209-224

Abstract: Searching for information about individual entities such as persons, locations, events, is an important activity in Internet search today, and is in its core a very semantic-oriented task. Several ways for accessing such information exist, but for locating entity-specific information, search engines are the most commonly used approach. In this context, keyword queries are the primary means of retrieving information about a specific entity. We believe that an important first step of performing such a task is to understand what type of entity the user is looking for. We call this process Entity Type Disambiguation. In this paper, we present a Naive Bayesian Model for entity type disambiguation that explores our assumption that an entity type can be inferred from the attributes a user specifies in a search query. The model has been applied to queries provided by a large sample of participants in an experiment performing an entity search task. The beneficial impact of this approach for the development of new search systems is discussed.

Keywords: Entities; entity type disambiguation; Naive Bayes model; informational queries; query classification (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1142/S0219649211002948

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