Preface
Part I: Data Science/Technology Review
Chapter 1: FTA as Due Diligence for an Era of Accelerated Interdiction by an Algorithm-Big Data Duo
Chapter 2: A Conceptual Framework of Tech Mining Engineering to Enhance the Planning of Future Innovation Pathways
Chapter 3: Profile and Trends of FTA and Foresight
Chapter 4: Recent Trends in Technology Mining Approaches
Chapter 5: Anticipating Future Pathways of Science, Technology, and Innovations
Part II: Text Analytic Methods
Chapter 6: Towards Foresight 3.0
The HCSS Metafore Approach
Chapter 7: Using Enhanced Patent Data for Future-Oriented Technology Analysis
Chapter 8: Innovation and Design Process Ontology
Chapter 9: Generating Competitive Technical Intelligence Using Topical Analysis, Patent Citation Analysis and Term Clumping Analysis
Chapter 10: Identifying Targets for Technology Mergers and Acquisitions Using Patent Information and Semantic Analysis
Chapter 11: Identifying Technological Topic Changes in Patent Claims Using Topic Modeling
Chapter 12: Semi-Automatic Technology Roadmapping Composing Method for Multiple Science, Technology, and Innovation Data Incorporation
Chapter 13: Generating Futures from Text
Part III: Anticipating the Future
Cases and Frameworks
Chapter 14: Additive Manufacturing
Chapter 15: The Application of Social Network Analysis
Chapter 16: Building a View of the Future of Antibiotics Through the Analysis of Primary Patents
Chapter 17: Combining Scientometics with Patent-Metrics for CTI Service in R&D Decision Making
Chapter 18: Tech Mining for Emerging STI Trends through Dynamic Term Clustering and Semantic Analysis: The Case of Photonics. .