Searching for Individual Entities: a Query Analysis

Bazzanella, Barbara and Stoermer, Heiko and Bouquet, Paolo (2009) Searching for Individual Entities: a Query Analysis. UNSPECIFIED. (Unpublished)

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    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.

    Item Type: Departmental Technical Report
    Department or Research center: Cognitive and education sciences
    Subjects: B Philosophy. Psychology. Religion > BF Psychology > BF180 Experimental psychology
    Uncontrolled Keywords: entity searching, query analysis
    Additional Information: This work is partially supported by the by the FP7 EU Large-scale Integrating Project OKKAM – Enabling a Web of Entities (contract no. ICT-215032). For more details, visit
    Repository staff approval on: 20 Aug 2009

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