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

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7. Similarity Evaluation 7.1 Term’s Similarity Calculation 2) Taxonomy similarity by positions in the taxonomy Problem Description <strong>Case</strong> Description TaxSim(Steel, Iron) = 0.8 TaxSim(Steel, Plastic) = 0.2 Steel Iron Plastic 50 Metal Non-metal Iron Steel Material Plastic 6 Similarity Evaluation
7. Similarity Evaluation 7.1 Term’s Similarity Calculation 3) Definition Similarity by similarity of terms in the definitions Problem Description <strong>Case</strong> Description Geo_location Country Geom_location ≡ geographical_place Country ≡ PoliticalUnit ∧∃in_which_used.AirPurifier ∧∀hasDvalue.(Korea ∨ China ∨ USA ) ∧∀hasDvalue.(Asia ∨ Europe∨ America) Total concept = Nc1 + Nc2 Similar (same) concept with same (similar) Role = Nr Similar ( same) concept with different (not similar) Role = Nr’ DefSim(Geo_location, Country) = 6/9 + σ×0 = 0.66 Asia America Korea Japan 6 Similarity Evaluation USA
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 49: 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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