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Entity Type Disambiguation in User Queries

Author

Listed:
  • 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)

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.

Suggested Citation

  • Barbara Bazzanella & Heiko Stoermer & Paolo Bouquet, 2011. "Entity Type Disambiguation in User Queries," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 10(03), pages 209-224.
    • Handle: RePEc:wsi:jikmxx:v:10:y:2011:i:03:n:s0219649211002948
    DOI: 10.1142/S0219649211002948
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