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

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7. Similarity Evaluation Character similarity Definition similarity Taxonomy similarity Dependency similarity M M. Jung, H.W. Suh, “Ontology Mapping-based Search with Multi-dimensional Similarity and Bayesian Network’, 7th IJCC Japan-Korea CAD/CAM Workshop RCAST, Tokyo, Japan, July 26-27, 2007 Japan . P. Mitra, N. F. Noy and A. R. Jaiswal., “OMEN: A Probabilistic Ontology Mapping Tool,” Workshop on Meaning coordination and negotiation at the Third International Conference on the Semantic Web (ISWC-2004), Hisroshima, Japan, 2004. 6 Similarity Evaluation
7. Similarity Evaluation 7.1 Term’s Similarity Calculation 1) Character Similarity by Jaro metrics Problem Description Case Description FlowRate AirFlowRate JaroSim(FlowRate, AirFlowRate) = 1/3 * ( 8/8 + 8/11 + (8 – 0)/(2*8)) = 0.74 6 Similarity Evaluation
Page 1 and 2: Ontology-based Ontology based Case-
Page 3 and 4: Contents ■ Ontology-based Mapping
Page 5 and 6: Ontology - Definition a formal and
Page 7 and 8: 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 45 and 46: 6. Ontology-based Case-Base Network
Page 47: 6. Ontology-based Case-Base Network
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 and 60: 9. Discussion Ontology-based CBR Ty

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