Semantic Web

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.

Examines the contrast of competing paradigms and approaches to problem-solving and decision-making using technology tools and techniques Covers how to use Object-Oriented and semantic principles and user-centered designs to improve decision-making and problem solving Discusses organization-wide information systems that align technical with business needs Includes supplementary material: sn.pub/extras

Autorentext
Michael D. Workman, Ph.D. is a Professor of Computer Information Systems and Human Factors with the College of Engineering, School of Computing at the Florida Institute of Technology.

Inhalt
Semantic cognition and the ontological to epistemic transformation: Using technologies to facilitate understanding.- Using Symbols for Semantic Representations: A Pilot Study of Clinician Opinions of a Web 3.0 Medical Application.- Emerging Semantic-Based Applications.- Semantics: Revolutionary Breakthrough Or Just Another Way of Doing Things?.- Unnatural Language Processing: Characterizing the Challenges in Translating Natural Language Semantics into Ontology Semantics.- The Lexical Bridge: A Methodology for Bridging the Semantic Gaps between a Natural Language and an Ontology.- Reliable Semantic Systems For Decision Making: Defining A Business Rules Ontology For A Survey Decision System.- University Ontology: A Case study at Ahlia University.- Semantic Enrichment of Event Stream for Semantic Situation Awareness.- Semantic Web and Business:Reaching a tipping point?.