Semantic Web: Implications for Technologies and Business Practices Front Cover

Semantic Web: Implications for Technologies and Business Practices

  • Length: 229 pages
  • Edition: 1st ed. 2016
  • Publisher:
  • Publication Date: 2015-08-29
  • ISBN-10: 3319166573
  • ISBN-13: 9783319166575
  • Sales Rank: #12765491 (See Top 100 Books)
Description

This book examines recent developments in semantic systems that can respond to situations and environments and events. The contributors to this book cover how to design, implement and utilize disruptive technologies. The editor discusses the two fundamental sets of disruptive technologies: the development of semantic technologies including description logics, ontologies and agent frameworks; and the development of semantic information rendering and graphical forms of displays of high-density time-sensitive data to improve situational awareness. Beyond practical illustrations of emerging technologies, the editor proposes to utilize an incremental development method called knowledge scaffolding –a proven educational psychology technique for learning a subject matter thoroughly. The goal of this book is to help readers learn about managing information resources, from the ground up and reinforcing the learning as they read on.

Table of Contents

Chapter 1 Introduction to This Book
Chapter 2 Semantic Cognition and the Ontological to Epistemic Transformation: Using Technologies to Facilitate Understanding
Chapter 3 Using Symbols for Semantic Representations: A Pilot Study of Clinician Opinions of a Web 3.0 Medical Application
Chapter 4 Emerging Semantic-Based Applications
Chapter 5 Semantics: Revolutionary Breakthrough or Just Another Way of Doing Things?
Chapter 6 Unnatural Language Processing: Characterizing the Challenges in Translating Natural Language Semantics into Ontology Semantics
Chapter 7 The Lexical Bridge: A Methodology for Bridging the Semantic Gaps between a Natural Language and an Ontology
Chapter 8 Reliable Semantic Systems for Decision Making: Defining a Business Rules Ontology for a Survey Decision System
Chapter 9 University Ontology: A Case Study at Ahlia University
Chapter 10 Semantic Enrichment of Event Stream for Semantic Situation Awareness
Chapter 11 Semantic Web and Business: Reaching a Tipping Point?

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