Relational Calculus for Actionable Knowledge
暫譯: 可行知識的關聯演算

​Chapter 1 Introduction to Actionable Knowledge: Concepts & Definitions 1.1 Actionable Knowledge 1.2 Our World: Cyber-Physical and Social Systems (CPSS) 1.3 Societal Behavior Face to Knowledge and Information 1.4 Informational Situations 1.5 Structures and Knowledge Structures 1.5.1 Symbols and Signs 1.5.2 Concepts, Names and Objects 1.6 Mastering and Improving knowledge 1.6.1 Toward a better mastery of knowledge 1.6.2 Universality and mastering knowledge 1.7 Actionable knowledge and decision support 1.7.1 Decision Support in CPSS 1.7.2 Analytics and Information Fusion (AIF) 1.7.3 Situation Awareness and actionable knowledge 1.8 Structure of the book
Chapter 2 Knowledge and its Dimensions 2.1 Introduction 2.2. Knowledge Systems 2.2.1 Knowledge Item, Unit, Quantum, and Element 2.2.2 Epistemic (knowledge) Structures and Spaces 2.2.3 Domain Knowledge and Knowledge Object 2.2.4 Semiotic bases of an 'infocentric' knowledge pipeline 2.2.5 Representation of knowledge 2.3. The multidimensionality of knowledge 2.3.1 Dimensions and characteristics of knowledge 2.3.2 Knowledge correctness2.4. Meaning of knowledge: the semantic dimension 2.4.1 Production of sense 2.4.2 The semantic traits or semes 2.4.3 Sense and Action 2.4.4 Connotation and denotation 2.4.5 Representations and manipulations of sense 2.5 The temporal dimension of knowledge 2.5.1 Temporal dimension and "signified' 2.5.2 Temporal dimension validity 2.6 The ontological dimension of knowledge 2.6.1 On tracing 'notions' in an ontology 2.6.2 Domains of objects 2.6.3 Implementing the ontological dimension 2.6.4 Contextual information and knowledge 2.7 Conclusion
Chapter 3 The Knowledge Chain 3.1 Introduction 3.2 Semiotic basis 3.3 Data, Information, and Knowledge 3.3.1 What is data? 3.3.2 What is information? 3.3.3 What is knowledge? 3.3.4 Relationships between information, data, and knowledge. 3.3.5 Semantic status 3.4 Quality of Information (QoI) in the Knowledge Chain 3.4.1 Questions related to quality of information 3.4.2 Evaluation of quality of information 3.4.3 Frameworks to evaluation of quality of information 3.4.4 A guided tour of books on data and information quality 3.4.5 On information quality ontologies 3.5 A need for formalization 3.5.1 Logical propositions 3.5.2 Propositional transformations 3.5.3 Predicate logic formalization 3.5.4 Formalization by graphical representations 3.6 Knowledge reference dimension: the use of quantification 3.6.1 Order and scope of the quantification of a referent 3.6.2 Application of quantification to referents 3.6.3 Relational predicate applied to referents 3.6.4 Converse property of a relational predicate 3.6.5 Reflexivity property of a relational predicate 3.6.6 Symmetry and asymmetry properties of a relational predicate 3.6.7 Negation property of a relati