Provability-Based Semantic Interoperability for Information Sharing and Joint Reasoning

  • Authors:
  • Andrew Shilliday;Joshua Taylor;Micah Clark;Selmer Bringsjord

  • Affiliations:
  • Rensselaer Artificial Intelligence and Reasoning (RAIR) Laboratory, Departments of Cognitive and Computer Science, Rensselaer Polytechnic Institute, Troy NY 12180, USA;Rensselaer Artificial Intelligence and Reasoning (RAIR) Laboratory, Departments of Cognitive and Computer Science, Rensselaer Polytechnic Institute, Troy NY 12180, USA;Rensselaer Artificial Intelligence and Reasoning (RAIR) Laboratory, Departments of Cognitive and Computer Science, Rensselaer Polytechnic Institute, Troy NY 12180, USA;Rensselaer Artificial Intelligence and Reasoning (RAIR) Laboratory, Departments of Cognitive and Computer Science, Rensselaer Polytechnic Institute, Troy NY 12180, USA

  • Venue:
  • Proceedings of the 2010 conference on Ontologies and Semantic Technologies for Intelligence
  • Year:
  • 2010

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Abstract

We describe provability-based semantic interoperability (PBSI), a framework transcending syntactic translation that enables robust, meaningful, knowledge exchange across diverse information systems. PBSI is achieved through translation graphs that capture complex ontological relationships, and through provability-based queries. We work through an example of automating an unmanned aerial vehicle by reasoning over information from a number of sources.