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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Building of CBR's DB Using Ontology for a Collision Avoidance System
1 Mokpo National Maritime University, Mokpo, South Korea
ABSTRACT: We have proposed Fuzzy-CBR to find a solution from past knowledge retrieved from the database and adapted to the 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 case, used as inputs, for 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 manoeuvring situation.
KEYWORDS: Anti-Collision, Risk of Collision, Manoeuvring Situations, Collision Avoidance System, Ontology, Case Based Reasoning (CBR), Fuzzy CBR Technique, CBR Data Base
REFERENCES
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Citation note:
Park G.K., Kim W.G., Benedictos J.L.R.M.: Building of CBR's DB Using Ontology for a Collision Avoidance System. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 2, No. 4, pp. 369-374, 2008
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