Knowledge Representation Model Based on Case-Based Reasoning and the Domain Ontology: Application to the IT Consultation-Reference-Cited by-同舟云学术

Knowledge Representation Model Based on Case-Based Reasoning and the Domain Ontology: Application to the IT Consultation

Published:2018 Issue:11 Volume:51 Page:1218-1223
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Avdeenko Tatiana V.,Makarova Ekaterina S.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference15 articles.

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2. Avdeenko, T.V. and Makarova, E.S. (2017b). Acquisition of knowledge in the form of fuzzy rules for cases classification. Lecture Notes in Computer Science. Vol. 10387: Data mining and big data : intern. conf. on data mining and big data, Japan, Fukuoka, 536-544.

3. A Case based Reasoning System based on Domain Ontology for Fault Diagnosis of Steam Turbines;Dendani-Hadiby;International Journal of Hybrid Information Technology,2012

4. Building CBR systems with jcolibri;Díaz-Agudo;Journal of Science of Computer Programming,2007

5. An ontological approach to develop knowledge intensive CBR systems;Díaz-Agudo,2007

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