Knowledge representation with KnowLang: The marXbot case study

Emil Vassev, Mike Hinchey

Research output: Contribution to conferencePaperpeer-review

Abstract

Intelligent systems are capable of AI exhibited via knowledge representation and reasoning, which helps to connect abstract knowledge symbols to real-world meanings. This paper presents a formal language for knowledge representation called KnowLang. The language implies a multi-tier specification model emphasizing knowledge corpuses, knowledge base operators and inference primitives. The approach allows for efficient and comprehensive knowledge structuring where ontologies are integrated with rules and Bayesian networks. The paper presents the KnowLang specification constructs formally along with a case study based on a mobile robotics platform.

Original languageEnglish
Pages18-23
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 11th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2012 - Limerick, Ireland
Duration: 23 Aug 201224 Aug 2012

Conference

Conference2012 11th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2012
Country/TerritoryIreland
CityLimerick
Period23/08/1224/08/12

Keywords

  • knowledge representation
  • reasoning
  • robotics

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