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Conceptual Pathway Querying of Natural Logic Knowledge Bases from Text Bases

  • Troels Andreasen
  • Henrik Bulskov
  • Jørgen Fischer Nilsson
  • Per Anker Jensen
  • Tine Lassen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8132)

Abstract

We describe a framework affording computation of conceptual pathways between a pair of terms presented as a query to a text database. In this framework, information is extracted from text sentences and becomes represented in natural logic, which is a form of logic coming much closer to natural language than predicate logic. Natural logic accommodates a variety of scientific parlance, ontologies and domain models. It also supports a semantic net or graph view of the knowledge base. This admits computation of relationships between concepts simultaneously through pathfinding in the knowledge base graph and deductive inference with the stored assertions. We envisage use of the developed pathway functionality, e.g., within bio-, pharma-, and medical sciences for calculating bio-pathways and causal chains.

Keywords

Natural Logic Relative Clause Description Logic Predicate Logic Formal Ontology 
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 2013

Authors and Affiliations

  • Troels Andreasen
    • 1
  • Henrik Bulskov
    • 1
  • Jørgen Fischer Nilsson
    • 2
  • Per Anker Jensen
    • 3
  • Tine Lassen
    • 3
  1. 1.CBITRoskilde UniversityDenmark
  2. 2.IMMTechnical University of DenmarkDenmark
  3. 3.IBCCopenhagen Business SchoolDenmark

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