Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Building a Conceptual Model Using Ontology for the Efficient Retrieval of Cases from Fuzzy-CBR of Collision Avoidance Support System

  • Park, Gyei-Kark (Division of Maritime Transportation System Mokpo National Maritime University) ;
  • Benedictos, John Leslie RM (Graduate School, Division of Maritime Transportation System Mokpo National Maritime University) ;
  • Shin, Sung-Chul (Division of Ocean System Engineering Mokpo National Maritime University) ;
  • Im, Nam-Kyun (Division of Maritime Transportation System Mokpo National Maritime University) ;
  • Yi, Mi-Ra (Division of Marine Electronics and Communication Engineering Mokpo National Maritime University)
  • Published : 2007.04.20
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Abstract

We have proposed Fuzzy-CBR to find a solution from past knowledge retrieved from the database and adapted to 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 fur identifying the concepts involved in a new case, used as inputs, for a ship collision avoidance support system and in solving for similarity through document articulation and abstraction levels. These ontologies will be used to build a conceptual model of a maneuvering situation.

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