Visually Interacting with a Knowledge Base Using Frames, Logic, and Propositional Graphs

  • Daniel R. Schlegel
  • Stuart C. Shapiro
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7205)

Abstract

The knowledge base of a knowledge representation and reasoning system can simultaneously be thought of as being logic-, frame-, and graph-based. We present a method for naturally extending this three-fold view to methods for visual interaction with the knowledge base in the context of SNePS 3 and its newly developed user interface. Addition to, and querying of, the knowledge base are tasks well suited to a frame or logical representation. Visualization and exploration on the other hand are best done through the use of propositional graphs. We show how these interaction techniques, which are extensions of the underlying knowledge base representation, augment each other to allow users to manipulate and view large knowledge bases.

Keywords

Binary Relation Function Symbol Information Fusion Logical Expression Functional Term 
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 2012

Authors and Affiliations

  • Daniel R. Schlegel
    • 1
  • Stuart C. Shapiro
    • 1
  1. 1.Department of Computer Science and Engineering, and Center for Cognitive Science, and Center for Multisource Information FusionUniversity at Buffalo, The State University of New YorkBuffaloUSA

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