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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
Han-Jin Lee and Key Pyo Rhee, , 2001 Development of Collision Avoidance System by Using Expert System and Search Algorithm, Int'l. Ship Building System, Vol.48, No. 3, pp.197-210.
Nam-Kyun Im and Gei-Kark Park, 2005, Simulation Study on Auto Navigation System. pp. 572-576, Proceedings of the 6th International Symposium on Advanced Intelligent Systems.
Yong-Nam Na, Wang-gyu Choi and Sung-juu Lee, 2003, Self Organizing Fuzzy Controller Using Command Fusion Method and Genetic Algorithm, International Journal for Fuzzy Logic and Intelligent Systems.
Gei-Kark Park, John Leslie RM Benedictos, 2006, Ship’s Collision Avoidance System Using Fuzzy-CBR, Vol.16, No. 2, pp. 39-44, Proc. of KFIS Autumn Conference, Gumi, 17-18 November.
Ian Watson, 1998, CBR is a methodology not a technology, In, Research and Development in Expert Systems XV.
Toshiro Iwatani, Shun'ichi Tano and Wataro Okamoto, 1994, Fuzzy Case Base Reasoning in FLINS (Fuzzy Lingual Reasoning), LIFE Technical Report, TR-4N020.
Shun'ichi Tano, Toshiro Iwatani, Wataro Okamoto, Atsoushi Inoue and Ryousuke Fojioka, Fuzzy Natural Language Communication System - FLINS: Concept and Conversation Examples, FUZZ-IEEE'95, pp. 1039-1044, 1995.
Ryousuke Fojioka, Shun'ichi Tano, Wataro Okamoto, Atsoushi Inoue and Toshiro Iwatani, Treatment of fuzziness in natural language by Fuzzy Lingual Sytem - FLINS, FUZZ-IEEE'95. pp.1045-1050, 1995.
Agnar Aadmont and Enric Plaza, Case-Based Reasoning: Foundational Issues, Methodological Variations, and system approaches,AI Communications, 7(1):39-59, 1994.
R.Nossum and V.Oleschuk, Dynamic Documents Indexing in Evolving Contexts,Vol=151, Proceedings on CIR’05 Workshop on Context Based Information Retrieval, .
D.M.Sanches, J.M.Cavero and E. Marcos, On Models and Ontologies, 1st Workshp on Philosophical Foundations of Information systems Engineering, PHISE05, 2005
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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