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Entity Type Disambiguation in User Queries

Listed author(s):
  • 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)

Registered author(s):

    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.

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    Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal Journal of Information & Knowledge Management.

    Volume (Year): 10 (2011)
    Issue (Month): 03 ()
    Pages: 209-224

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    Handle: RePEc:wsi:jikmxx:v:10:y:2011:i:03:p:209-224
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