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

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5. Ontology Reasoning 5.2 Axiom Reasoning - concept has_char CarType has_char AirPurifier install has_d_val has_d_val subpart subpart FanAssy Motor has_char has_n_val torque has_n_val has_req subpart Fan ?? has_char out_diameter has_n_val has_char subreq Air_Env Country has_n_val Cleaning_Air subreq has_req Make_Wind has_char Flow_rate has_q_val has_char Noise has_n_val has_q_val SUV Inside_car 65 80 China 90 ?? 40 ?? 3 Axiom Reasoning
5. Ontology Reasoning 5.2 Axiom Reasoning - concept � � � � � has_char CarType has_d_val SUV KB_for_new_prob fan(fan_new_prob). AirPurifier subpart subpart FanAssy has_char has_char Motor has_d_val install has_n_val torque has_n_val Inside_car 65 80 flow_rate(flow_rate_new_prob) noise(noise_new_prob). make_wind(make_wind_new_prob) SUV(suv_1). subpart Fan ?? Air_Env subreq has_req Cleaning_Air subreq Make_Wind has_char has_char has_char has_char out_diameter has_n_val Country has_n_val Flow_rate has_q_val Noise has_n_val has_q_val China 90 ?? 40 ?? has_req(fan_new_prob, make_wind_new_prob). has_char(fan_new_prob, flow_rate_new_prob). has_char(fan_new_prob, noise_new_prob). has_char(fan_new_prob, veh_type_new_prob) has_n_value(flow_rate_new_prob, 90). has_n_value(noise_new_prob, 40). has_d_value(veh_type_new_prob, suv_1) Concept Definition: Def#02 … crossflow_fan ≡ fan ⊓ has_req.(make_wind ⊓ has_char.(flow_rate ⊓ has_q_val.{normal}) ⊓ has_char.(noise ⊓ has_q_val.{low})). has_req Rule#03 ∀x,y,v1,v2 Fan(x) ∧ flow_rate(y) ∧ has_char(x,y) ∧ has_n_value(y, v1) ∧ (80 < v1 < 120) → has_q_value(y, ‘normal’) Rule#04 ∀x,y,v1,v2 Fan(x) ∧ noise(z) ∧ has_char(x,z) 39∧ has_n_value(y, v1) ∧ (30 < v1 < 80) → has_q_value(y, ‘low’) 3 Axiom Reasoning
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: 5. Ontology Reasoning Tableau Algor
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

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