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Visually interacting with a knowledge base using frames, logic, and propositional graphs

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

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.

Original languageEnglish
Title of host publicationGraph Structures for Knowledge Representation and Reasoning - Second International Workshop, GKR 2011, Revised Selected Papers
Pages188-207
Number of pages20
DOIs
StatePublished - 2012
Event2nd International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2011 - Barcelona, Spain
Duration: Jul 16 2011Jul 16 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7205 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2011
Country/TerritorySpain
CityBarcelona
Period07/16/1107/16/11

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