Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Conceptual Model for Fuzzy-CBR Support System for Collision Avoidance at Sea Using Ontology

  • Park, Gyei-Kark (Faculty of Maritime Transportation System) ;
  • Kim, Woong-Gyu (Graduate School, Department of Maritime Transportation System Mokpo National Maritime University) ;
  • Benedictos, John Leslie RM (Graduate School, Department of Maritime Transportation System Mokpo National Maritime University)
  • Published : 2007.06.30
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Abstract

Fuzzy-CBR Collision Avoidance Support System is a system that finds a solution from past knowledge retrieved from the database and adapted to a new situation. Its algorithm has resulted to an adapting a solution for a new situation. However, ontology is needed in identifying concepts, relations and instances that are involved in a situation in order to improve and facilitate the efficient retrieval of similar cases from the CBR database. This paper proposes the way to apply ontology for identifying the concepts involved in a new environment and use them as inputs, for a ship collision avoidance support system., Similarity will be obtained through document articulation and using abstraction levels. A conceptual model of a maneuvering situation will be built using these ontologies.

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References

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