• DocumentCode
    2966896
  • Title

    Managing Uncertainty, Importance and Differing World-Views in ASKNet Semantic Networks

  • Author

    Harrington, Brian

  • Author_Institution
    Comput. Lab., Oxford Univ., Oxford, UK
  • fYear
    2010
  • fDate
    22-24 Sept. 2010
  • Firstpage
    487
  • Lastpage
    494
  • Abstract
    ASKNet is a tool for automatically creating large scale semantic networks from natural language texts. Its semantic network formalism is robust and extensible, but as with all formalisms of this type, it is limited in the types of information it can represent. In this paper, we extend the network formalism to better represent the strength of a relation as a combination of factors such as the relation´s relevance, the reliability of the source, and our confidence that the relation is semantically correct. In addition, we extend the network to allow for post-creation adjustment of the world-view by turning off relations which were created by a particular source. This allows ASKNet to represent the information in its network as it would appear to a group or individual who either disregards, or does not have access to the information provided by a particular source.
  • Keywords
    natural language processing; semantic networks; text analysis; ASKNet semantic networks; large scale semantic networks; natural language texts; network formalism; Attenuation; Degradation; Knowledge engineering; Mathematical model; Natural languages; Reliability; Semantics; ASKNet; Semantic Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2010 IEEE Fourth International Conference on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    978-1-4244-7912-2
  • Electronic_ISBN
    978-0-7695-4154-9
  • Type

    conf

  • DOI
    10.1109/ICSC.2010.57
  • Filename
    5629031