Preface; Contents; Contributors; Chapter-1; Introduction to This Book; 1.1 Resource Description Framework; 1.2 Ontology Markup; 1.3 Agent Frameworks; 1.4 Looking Forward; References; Chapter-2; Semantic Cognition and the Ontological to Epistemic Transformation: Using Technologies to Facilitate Understanding; 2.1 Introduction; Structure, Structuration, and Agency; Agency and Agent Systems; Goal-Directed Agents; The Problem of Meaning; 2.2 Cognition Overview; Memory and Cognition; Information Structure and Semantics; 2.3 Visual Perception; Vision and Visual Perception; Visual Memory Processing

2.4 Memory and AttentionWorking Memory; Types of Memory; Cognitive Processing; Semantic Relatedness and Cognition; Semantic Priming; Content and Technical Accuracy; 2.5 Summary; References; Chapter-3; Using Symbols for Semantic Representations: A Pilot Study of Clinician Opinions of a Web 3.0 Medical Application; 3.1 Introduction; 3.2 Theory Foundations and Design Principles; 3.3 Method; Participants and Preparations; Instrumentation; Procedures; 3.4 Results; 3.5 Discussion; References; Chapter-4; Emerging Semantic-Based Applications; 4.1 Background; 4.2 Semantics Behind Keywords

Semantic Keyword-Based Search: QueryGenSemantic Data Retrieval: Doctopush; 4.3 Semantic Information Extraction: GENIE; 4.4 Technologies for Fuzzy Knowledge; Modeling Fuzzy Ontologies with Fuzzy OWL 2; Reasoning with Fuzzy Ontologies Using fuzzyDL; Reasoning with Fuzzy Ontologies Using DeLorean; 4.5 Applying Semantic Web Technologies to Mobile Computing; Semantic Location Granules; Semantic Management of LBSs: SHERLOCK; 4.6 Discussion; References; Chapter-5; Semantics: Revolutionary Breakthrough or Just Another Way of Doing Things?; 5.1 Introduction; The Data World Today: Relational Plus

What Would be Better? And by what Criteria?What We Mean by Semantic Technology?; Foundational Concepts in Modeling; Importance of Similarity; Importance of Model Theory; Logic and Logic Programming as Reference; RDF, RDFS, and OWL as Semantic Languages; Evaluation of Semantic Web Languages Against Criteria; 5.2 How Are Semantic Web Languages Different?; Comparison with and Evaluation of XML; Comparison and Evaluation of Object-Oriented Languages; Relational Revisited: Comparison and Evaluation; Comparison and Evaluation of UML with Notes on MOF, eMOF, ODM, and SMOF; Summary of Representations

5.3 Semantics in Real-World SolutionsModel-Driven Equipment Overhaul: Common Understanding; Data Provenance: Information Availability; Early Manufacturability: Inference; Smart Grid: Interoperability; Data Science: Data Speaks; 5.4 Conclusion; References; Chapter-6; Unnatural Language Processing: Characterizing the Challenges in Translating Natural Language Semantics into Ontology Semantics; 6.1 Introduction; 6.2 Levels of NL Semantics; 6.3 Morphological Level; 6.4 Lexical Level; 6.5 Syntax-Level; 6.6 Summary and Value Proposition; References; Chapter-7