Current Trends on Knowledge-Based Systems (eBook)

Giner Alor-Hernández, Rafael Valencia-García (Herausgeber)

eBook Download: PDF

2017 | 1st ed. 2017
290 Seiten
Springer International Publishing (Verlag)
978-3-319-51905-0 (ISBN)

Infos

This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others.

Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc.

 As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used in different domains.

 The book offers a valuable resource for PhD students, Master’s and undergraduate students of Information Technology (IT)-related degrees such as Computer Science, Information Systems and Electronic Engineering.

 

Inhalt

Preface 6
Acknowledgements 11
Contents 12
Contributors 14
List of Figures 17
List of Tables 21
Semantic Web Applications 23
1 im4Things: An Ontology-Based Natural Language Interface for Controlling Devices in the Internet of Things 24
Abstract 24
1.1 Introduction 25
1.2 Related Works 26
1.3 im4Things System 28
1.3.1 im4Things App 31
1.3.1.1 Bot Configuration 31
1.3.1.2 Instant Messaging 31
1.3.2 im4Things Cloud Service 32
1.3.2.1 im4Things API 32
1.3.2.2 Communication Management 32
1.3.2.3 Security 33
1.3.2.4 Understanding Module 33
1.3.3 im4Things Bot 35
1.3.3.1 Conversational Agent 35
1.4 Evaluation and Results 37
1.4.1 Subjects 37
1.4.2 Procedure 38
1.4.3 Results 38
1.4.4 Discussion 40
1.5 Conclusions and Future Research 41
Acknowledgements 42
References 42
2 Knowledge-Based Leisure Time Recommendations in Social Networks 44
Abstract 44
2.1 Introduction 44
2.2 Related Work 46
2.3 Social Networking, Semantics and QoS Foundations 48
2.3.1 Influence in Social Networks 48
2.3.2 Leisure Time Places Semantic Information and Similarity 49
2.3.3 Physical Distance-Based and Thematic-Based Location Similarity 51
2.3.4 Leisure Time Places QoS Information 52
2.3.5 User’s Profile for Enabling Recommendations 52
2.4 The Leisure Time Recommendation Algorithm 54
2.5 Experimental Evaluation 58
2.5.1 Determining the Number of Influencers 59
2.5.2 Estimating the Taxonomy Level of Places Categories of Interest per User 60
2.5.3 Interest Probability Threshold 61
2.5.4 Recommendation Formulation Time 64
2.5.5 User Satisfaction 65
2.6 Conclusions and Future Work 66
References 67
3 An Ontology Based System for Knowledge Profile Management 70
Abstract 70
3.1 Introduction 71
3.2 Theoretical Background 71
3.3 State of the Art 74
3.3.1 Ontologies for Knowledge Management 74
3.3.2 Ontologies for Users’ Profile Management 75
3.4 An Ontology for Knowledge Profile Management 76
3.4.1 Development of the Ontology 77
3.4.1.1 Specification 77
3.4.1.2 Conceptualization 77
3.5 Results 83
3.5.1 The Case Study 84
3.5.2 Ontology Implementation 85
3.5.2.1 Determination of Base Components 85
3.5.2.2 Detailed Definition of Base Components 86
3.5.2.3 Normalization 87
3.6 Discussion and Conclusion 89
Acknowledgements 90
References 90
4 Sentiment Analysis Based on Psychological and Linguistic Features for Spanish Language 94
Abstract 94
4.1 Introduction 95
4.2 Related Work 96
4.3 Corpus 98
4.4 LIWC and Stylometric Variables 99
4.5 Machine Learning Approach 100
4.6 Experiment 101
4.6.1 Combination of LIWC Dimensions and Stylometric Dimension 101
4.6.2 Text Analysis with LIWC and WordSmith 101
4.6.3 Training a Machine Learning Algorithm and Validation Test 102
4.7 Evaluation and Results 103
4.7.1 Results for the Tourism Corpus 103
4.8 Discussion of Results 107
4.8.1 Comparison 109
4.9 Conclusion and Future Work 111
Acknowledgements 111
References 111
Knowledge Acquisition and Representation 114
5 Knowledge-Based System in an Affective and Intelligent Tutoring System 115
Abstract 115
5.1 Introduction 116
5.2 Related Work 116
5.3 Fermat Architecture and ITS Knowledge Representation 118
5.3.1 The System Archetypes 118
5.3.2 Fermat’s Architectural Style 119
5.3.3 Intelligent Tutoring System into Fermat Social Network 120
5.3.4 Knowledge Representation in the Intelligent Tutoring System 121
5.4 Recognizing Emotional States 125
5.4.1 Artificial Neural Network for Recognizing Emotional States 125
5.4.1.1 Training and Testing the Network with Emotional States 125
5.5 The Decision Network 126
5.5.1 Integrating Affect into the ITS 127
5.6 Evaluation and Results 129
5.6.1 Fermat Real-Time Evaluation 129
5.7 Conclusions and Future Directions 131
Acknowledgments 132
References 132
6 A Software Strategy for Knowledge Transfer in a Pharmaceutical Distribution Company 134
Abstract 134
6.1 Introduction 134
6.2 Theoretical Background 136
6.2.1 Knowledge and Knowledge Management 136
6.2.2 Knowledge Transfer 137
6.3 Software Strategy 138
6.3.1 Identification 140
6.3.1.1 Knowledge Identification 140
6.3.1.2 Knowledge Assessment 141
6.3.2 Capture/Storage 141
6.3.2.1 Capture of Missing Knowledge 141
6.3.2.2 Knowledge Repository 141
6.3.3 Transfer/Visualization 141
6.3.3.1 Enablers 142
6.3.3.2 Enabling Tools 142
6.3.4 Application 142
6.3.4.1 Usage Assessment 142
6.4 Software Strategy Implementation 143
6.4.1 Identification 144
6.4.1.1 Knowledge Identification 144
6.4.1.2 Knowledge Assessment 145
6.4.2 Capture/Storage 146
6.4.2.1 Knowledge Repository 146
6.4.3 Transfer/Visualization 147
6.4.3.1 Enabling Processes and Tools 147
6.4.4 Application 149
6.4.4.1 Usage Assessment 150
6.5 Conclusions 152
References 153
7 GEODIM: A Semantic Model-Based System for 3D Recognition of Industrial Scenes 156
Abstract 156
7.1 Introduction 156
7.2 State of the Art 157
7.2.1 Object Recognition 158
7.2.2 Semantic on Object Recognition 159
7.3 GEODIM Overview 161
7.3.1 Process of Geometric Primitives Recognition 162
7.3.2 Semantic Enrichment Process 164
7.3.3 Semantic Model 168
7.4 A Real Use Case: Objects Recognition in an Industrial Facility 169
7.4.1 Recognition Process of Geometric Primitives 171
7.4.2 Semantic Enrichment Process 171
7.5 Evaluation 174
7.6 Conclusions and Future Work 176
Acknowledgements 176
References 176
8 Beyond Interoperability in the Systems 179
Abstract 179
8.1 Introduction 179
8.2 The Challenge of Interoperability in the Industry 4.0 182
8.3 Related Work 184
8.4 The Advanced Industrial Technical Interoperability Concept (TIC) 188
8.4.1 Introduction 188
8.4.2 Description of the TIC Layer 191
8.4.3 Basic Interoperability Functions 194
8.4.4 Application of the TIC Layer to Manage Complex Design Reuse Scenarios 195
8.5 Discussion of the TIC Layer in Industry 4.0 Toolchains 197
8.6 Conclusions and Future Work 199
Acknowledgements 199
References 199
Knowledge-Based Decision Support Systems (Tools for Industrial Knowledge Management) 202
9 Knowledge-Based Decision Support Systems for Personalized u-lifecare Big Data Services 203
Abstract 203
9.1 Introduction 203
9.2 Related Work 204
9.3 Proposed Platform 205
9.3.1 Data Acquisition and Management 206
9.3.2 Data Wrangling 206
9.3.2.1 Data Cleansing 207
9.3.2.2 Data Transformation 208
9.3.2.3 Data Loading 208
9.3.3 Big Data Storage and Processing 209
9.3.4 Learning Models 209
9.3.5 Model Interface 210
9.3.6 Knowledge Bases 210
9.3.7 Reasoner and Inferencing Services 210
9.3.8 Analytical Services 211
9.3.9 u-Lifecare Services API 211
9.4 Case Study 211
9.5 Conclusion 217
References 218
10 Decision Support System for Operational Risk Management in Supply Chain with 3PL Providers 220
Abstract 220
10.1 Introduction 220
10.2 State of the Art 221
10.2.1 Supply Chain Risk Management—SCRM 222
10.2.2 Operational Risk 223
10.2.3 Outsourcing as a Logistics Strategy 223
10.2.4 Risk in 3PL Operations 224
10.3 Proposed Model 225
10.3.1 Risk Identification 226
10.3.2 Risk Prioritization 227
10.3.3 Risk Quantification 227
10.3.4 Risk Management 228
10.4 Case Study 228
10.4.1 Risk Identification 229
10.4.2 Risk Prioritization 229
10.4.3 Risk Quantification 232
10.4.4 Risk Management 233
10.5 Concluding Remarks 234
References 234
11 Assessment of Ergonomic Compatibility on the Selection of Advanced Manufacturing Technology 238
Abstract 238
11.1 Introduction 239
11.2 Literature Review 239
11.2.1 Models for Assessment and Selection of AMT 239
11.2.2 Applications of Fuzzy Logic in Manufacturing 240
11.2.3 Fuzzy Inference 241
11.2.4 Axiomatic Design for the Assessment and Selection of AMT 243
11.3 Methodology 244
11.3.1 Methods 244
11.3.2 Mathematical Model 248
11.3.3 Results Using a Numerical Example 249
11.3.4 Conclusions and Future Research 252
Acknowledgements 253
References 253
12 Developing Geo-recommender Systems for Industry 255
Abstract 255
12.1 Introduction 256
12.2 State of the Art 256
12.2.1 Recommender Systems in Different Domains 257
12.2.2 Geographic Information Systems Applied to Environmental and Urban Studies 258
12.3 How to Develop a Geographic Recommender System? 261
12.3.1 Development Tools for Recommender Systems 264
12.4 Usage Scenarios of Geographic Recommender Systems 266
12.4.1 Geo-recommendations for Selecting Points of Sale (Pos) 267
12.4.2 Geo-recommendations for Product Deliveries 268
12.4.3 Touristic Geo-recommendations 268
12.4.4 Geo-recommendation for Public Transportation 269
12.4.5 Geo-recommendations for Sale Offers Within a Specific Radius 269
12.4.6 GEOREMSYS: A Geo-recommender System for Selecting POS 270
12.5 Conclusions 274
Acknowledgements 274
References 275
13 Evaluation of Denoising Methods in the Spatial Domain for Medical Ultrasound Imaging Applications 277
Abstract 277
13.1 Introduction 277
13.2 Review of Speckle Noise Reduction Methods for Ultrasound Medical Images 278
13.2.1 Transform Domain Methods 279
13.2.2 Spatial Domain Methods 280
13.3 Multiplicative Noise Model 281
13.4 Speckle Denoising Filters Compared in This Chapter 282
13.4.1 Average Filter 282
13.4.2 Median Filter 283
13.4.3 Frost Filter 283
13.4.4 Kuan et al. Filter 284
13.4.5 Lee Filter 284
13.4.6 Gamma MAP Filter 285
13.4.7 Anisotropic Diffusion 285
13.4.7.1 Speckle Reducing Anisotropic Diffusion (SRAD) 286
13.5 Metrics 287
13.6 Results 287
13.7 Conclusions 291
Acknowledgements 291
References 291
Appendix A: Attributes for AMT Ergonomic Evaluation 296
Appendix B: Rates Given by Experts to Milling Machines Alternatives 299
References 301

Produkt-Details

• Erscheint lt. Verlag: 13.3.2017
• Reihe/Serie: Intelligent Systems Reference Library
• Reihe/Serie: Intelligent Systems Reference Library
• Zusatzinfo: XXIV, 290 p. 86 illus., 58 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Bauwesen
• Schlagworte: Case-Based Reasoning • Intelligent Systems • Knowledge Representation • Natural Language Processing • Neural networks • semantic web
• ISBN-10: 3-319-51905-0 / 3319519050
• ISBN-13: 978-3-319-51905-0 / 9783319519050