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Table of Contents
Preface; Contents; Chapter 1: Finding Innovative Technical Solutions in Patents Through Improved Evolution Trends; 1.1 Introduction; 1.2 State of the Art: Anticipating the Evolution of Technical Systems; 1.2.1 Altshullerś Evolution Laws; 1.2.2 Polovinkinś Rules; 1.2.3 Design Heuristics; 1.2.4 Patent Exploitation Through the Evolution Laws of Technical Systems; 1.2.4.1 Patent Classification According to the TRIZ Inventive Principles; 1.2.4.2 Applying TRIZ Trends for Technology Transfer and Technology Forecasting
1.3 Selecting, Analyzing, and Classifying Pertinent Patents for Patent Exploitation1.3.1 General Description of the IMC Problem-Solving Methodology; 1.3.2 Formatting Patents for Exploitation: Discovery Matrix and the Timeline Classification; 1.4 A Proposition of Evolution Trends; 1.4.1 Rules of the Art of Engineering (Engineering Best Practices); 1.4.2 Introduction of the Eight Cards of Evolution Trends; 1.5 Application Case: Deep Offshore Biphasic Separator; 1.5.1 Context of the Problem; 1.5.2 Structuring the Discovery Matrix and the Timeline Classification
1.5.2.1 Discovery Matrix Columns and Lines Structure1.5.2.2 Discovery Matrix Timeline Classification; 1.5.3 Exploiting the Discovery Matrix by Means of Evolution Trends; 1.5.3.1 Analysis of Helical Systems (Branch 1); 1.5.3.2 Analysis of Plate Systems (Branch 3); 1.5.3.3 Analysis of Hybrid Systems (Branch 4); 1.5.4 Innovation Through the First Findings; 1.5.4.1 Incremental Innovation: A Hybrid Solution; 1.5.4.2 Breakthrough Innovation: Future Ideas; 1.6 Conclusion and Discussion; References; Chapter 2: Automated Extraction of Knowledge Useful to Populate Inventive Design Ontology from Patents
2.1 Introduction2.2 The Target Description; 2.2.1 TRIZ and IDM Knowledge Model; 2.2.2 IDM and Its Knowledge Model; 2.2.2.1 The Inventive Design Method; 2.2.2.2 IDM Ontology; 2.2.3 The Nature of Patent Documents; 2.3 An Overview of Patent Mining Tools; 2.4 The Proposed Methodology; 2.4.1 The Implementation; 2.4.2 The Linguistic Analysis; 2.4.3 The Linguistic Marker Selection; 2.5 Results and Discussion; 2.5.1 Precision and Recall; 2.6 Discussions; 2.7 Conclusion and Perspectives; References
Chapter 3: Modelling Industrial Design Contribution to Innovative Product or Service Design Process in a Highly Constrained En...3.1 Introduction; 3.2 Process Modelling; 3.2.1 Design Playground; 3.2.2 Design Process; 3.2.3 Literature Model; 3.3 Model Experiments; 3.3.1 Toward an Experimental Design Model; 3.3.2 The Uniklic Design Case; 3.4 Benefits; References; Chapter 4: Teaching Competence for Organising Problem-Centred Teaching-Learning Process; 4.1 Defining Problem-Centred Education; 4.1.1 Educational Context and Problem-Centred Education
1.3 Selecting, Analyzing, and Classifying Pertinent Patents for Patent Exploitation1.3.1 General Description of the IMC Problem-Solving Methodology; 1.3.2 Formatting Patents for Exploitation: Discovery Matrix and the Timeline Classification; 1.4 A Proposition of Evolution Trends; 1.4.1 Rules of the Art of Engineering (Engineering Best Practices); 1.4.2 Introduction of the Eight Cards of Evolution Trends; 1.5 Application Case: Deep Offshore Biphasic Separator; 1.5.1 Context of the Problem; 1.5.2 Structuring the Discovery Matrix and the Timeline Classification
1.5.2.1 Discovery Matrix Columns and Lines Structure1.5.2.2 Discovery Matrix Timeline Classification; 1.5.3 Exploiting the Discovery Matrix by Means of Evolution Trends; 1.5.3.1 Analysis of Helical Systems (Branch 1); 1.5.3.2 Analysis of Plate Systems (Branch 3); 1.5.3.3 Analysis of Hybrid Systems (Branch 4); 1.5.4 Innovation Through the First Findings; 1.5.4.1 Incremental Innovation: A Hybrid Solution; 1.5.4.2 Breakthrough Innovation: Future Ideas; 1.6 Conclusion and Discussion; References; Chapter 2: Automated Extraction of Knowledge Useful to Populate Inventive Design Ontology from Patents
2.1 Introduction2.2 The Target Description; 2.2.1 TRIZ and IDM Knowledge Model; 2.2.2 IDM and Its Knowledge Model; 2.2.2.1 The Inventive Design Method; 2.2.2.2 IDM Ontology; 2.2.3 The Nature of Patent Documents; 2.3 An Overview of Patent Mining Tools; 2.4 The Proposed Methodology; 2.4.1 The Implementation; 2.4.2 The Linguistic Analysis; 2.4.3 The Linguistic Marker Selection; 2.5 Results and Discussion; 2.5.1 Precision and Recall; 2.6 Discussions; 2.7 Conclusion and Perspectives; References
Chapter 3: Modelling Industrial Design Contribution to Innovative Product or Service Design Process in a Highly Constrained En...3.1 Introduction; 3.2 Process Modelling; 3.2.1 Design Playground; 3.2.2 Design Process; 3.2.3 Literature Model; 3.3 Model Experiments; 3.3.1 Toward an Experimental Design Model; 3.3.2 The Uniklic Design Case; 3.4 Benefits; References; Chapter 4: Teaching Competence for Organising Problem-Centred Teaching-Learning Process; 4.1 Defining Problem-Centred Education; 4.1.1 Educational Context and Problem-Centred Education