Ontology-based Case-Based Reasoning (OntCBR) for Engineering ...

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10. Conclusion We propose the Architecture of <strong>Ontology</strong>-<strong>based</strong> CBR approach. Problems 1. How to overcome ‘providing ontology definition’ 2. How to overcome ‘reasoning overhead’ 3. How to construct ‘network’ considering domain’ 4. How to develop ‘more efficient search method’ 60
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Ontology-based Ontology based Case-
Page 3 and 4:
Contents ■ Ontology-based Mapping
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Ontology - Definition a formal and
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Ontology - Mapping/Similarity Match
Page 9 and 10: Taxonomy Kim, Park Lee, Suh Employe
Page 11 and 12: Contents � Ontology � Case-Base
Page 13 and 14: 1. Introduction Case-Based Reasonin
Page 15 and 16: 2. Previous Research Prev. Research
Page 17 and 18: 3. Proposed Approach Problem Descri
Page 19 and 20: 3. Proposed Approach Logic represen
Page 21 and 22: 3. Proposed Approach Ontology: Term
Page 23 and 24: 3. Proposed Approach Ontology: Term
Page 25 and 26: 3. Proposed Approach Ontology: Onto
Page 27 and 28: 3. Proposed Approach Ontology: RDN
Page 29 and 30: 3. Proposed Approach OntCBR New Pro
Page 31 and 32: 4. Ontology Construction 4.1. Commo
Page 33 and 34: 4. Ontology Construction 4.1. Commo
Page 35 and 36: 5. Ontology Reasoning 5.1 Taxonomy
Page 37 and 38: 5. Ontology Reasoning Tableau Algor
Page 39 and 40: 5. Ontology Reasoning 5.2 Axiom Rea
Page 41 and 42: has_req 5. Ontology Reasoning 3) Ax
Page 43 and 44: 6. Ontology-based Case-Base Network
Page 49 and 50: 7. Similarity Evaluation 7.1 Term
Page 51 and 52: 7. Similarity Evaluation 7.1 Term
Page 53 and 54: 7. Similarity Evaluation 7.2 Graph
Page 55 and 56: 8. Case Search with Networks 8.1 Se
Page 57 and 58: 9. Discussion Representation Limita
Page 59: 9. Discussion Ontology-based CBR Ty
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Ontology-based Case-Based Reasoning (OntCBR) for Engineering ...

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