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

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2. Previous Research CBR Case Representation Text Attribute-value list Object-oriented Graph Graph + Ontology Case-base organization method For attribute-value list reprsentation For graph representation Flat structure Concept vector list structure List structure of shared attribute Concept structure network (CSN) Hierarchy structure of shared attributes Redundant discrimination network (RDN) Case similarity evaluation method For attribute-value list representation For graph representation attribute and value term's similarity concept vector similarity graph similarity ontology-based graph similarity 16
3. Proposed Approach Problem Description + Ontology Problem Description AirPurifier subpart has_req Cleaning_Air subpart FanAssy subpart subreq subreq has_char has_char Air_Env has_req Make_Wind has_char has_d_val CarType SUV install Country Flow_rate Noise has_d_val has_n_val has_n_val has_n_val xxx Motor has_char has_n_val Fan out_diameter xxx has_char has_char xxx xxx xxx Problem Description with Ontology AirPurifier subpart subpart FanAssy subpart has_char has_char install has_req has_char subreq Air_Env Country Cleaning_Air has_req subreq has_char Make_Wind Flow_rate has_char Noise Ontology: Terms Definitions has_d_val CarType SUV has_d_val has_n_val has_n_val has_n_val Axioms [DL] has-subpart + [HL] x,y,z has_subpart(x,y) ∧ has_subpart(y,z) → has_subpart(x,z) … Definitions [DL] install ≡ location ⊓ ∃ is_char_of.airpurifier ⊓ ∃ has_d_value.(inside_car ⊔ trunk) [DL] SUV ≡ CarTypeValue ⊓ ∃ hasCarPurpose.NormalRoad ⊓ ∃ hasCarPurpose.RoughRoad ⊓ ∃ hasDisplacement.MoreThan2000LessThan3000 ⊓ ∃ hasCarPurpose.Leisure. xxx Motor has_char has_n_val Fan out_diameter xxx xxx xxx xxx
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: 2. Previous Research Prev. Research
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 and 60: 9. Discussion Ontology-based CBR Ty

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

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