• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Entity disambiguation using link based relations extracted from Wikipedia
 
  • Details
  • Full
Options
2010
Conference Paper
Title

Entity disambiguation using link based relations extracted from Wikipedia

Abstract
We present an approach for the disambiguation of textual mentions of ambiguous names: disambiguation means here the identi?cation of the true entity denoted by a name phrase appearing in a query context through its as- signment to the corresponding Wikipedia article. If this article does not exist, we assign this query to a default entity. Ambiguity of names is a major problem in information retrieval and causes uncertainty in the assignment of name phrases to existing knowledge base entries. We propose a kernel classi?er to approach this problem and compare two Wikipedia structures to construct a rich feature space. The ?rst approach relies on Wikipedia categories, the second on relations constructed from Wikipedia's hyper link structure. We evaluate both approaches on the German version of Wikipedia and show that both outperform a baseline approach using simple cosine similarity.
Author(s)
Pilz, Anja  
Mainwork
First Workshop on Automated Knowledge Base Construction, AKBC 2010  
Conference
Workshop on Automated Knowledge Base Construction (AKBC) 2010  
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024