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.

주제어

#Ontology   #conceptual model   #mapping   #similarity   #abstraction level   #Fuzzy-CBR   #retrieve   #adapt  

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이 논문을 인용한 문헌 (1)

1. Kim, Young-Ki ; Park, Gyei-Kark ; Yi, Mi-Ra 2011. "The Design of a Meaning Interpretation Model for Supporting Linguistic Navigation Safety Information" 한국지능시스템학회 논문지 = Journal of Korean institute of intelligent systems, 21(2): 198~205  원문보기 상세보기