Encyclopedic Knowledge Patterns from Wikipedia Links

  • Andrea Giovanni Nuzzolese
  • Aldo Gangemi
  • Valentina Presutti
  • Paolo Ciancarini
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7031)

Abstract

What is the most intuitive way of organizing concepts for describing things? What are the most relevant types of things that people use for describing other things? Wikipedia and Linked Data offer knowledge engineering researchers a chance to empirically identifying invariances in conceptual organization of knowledge i.e. knowledge patterns. In this paper, we present a resource of Encyclopedic Knowledge Patterns that have been discovered by analyizing the Wikipedia page links dataset, describe their evaluation with a user study, and discuss why it enables a number of research directions contributing to the realization of a meaningful Semantic Web.

Keywords

User Study Object Type Relevance Score Subject Type Triple Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Andrea Giovanni Nuzzolese
    • 1
    • 2
  • Aldo Gangemi
    • 1
  • Valentina Presutti
    • 1
  • Paolo Ciancarini
    • 1
    • 2
  1. 1.STLab-ISTC Consiglio Nazionale delle RicercheRomeItaly
  2. 2.Dipartimento di Scienze dell’InformazioneUniversità di BolognaItaly

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