Knowledge Engineering: Principles, Methods and Applications

Knowledge processing requires the discipline of engineering knowledge in order to solve complex problems normally requiring a high level of expertise, currently used in management information systems (MIS) domains, with artificial and computational intelligence (ACI), intelligent and deductive databases, expert systems (ES), decision support systems, geographic knowledge and information systems, business intelligence (BI), software architectures and others. Knowledge engineering has its own mathematics and body of knowledge; strongly concerning cognitive science. This book includes important conceptual definitions, tools, principles, and applications of knowledge engineering.

Table of Contents

Chapter 1: Fundamentals of Geographic Knowledge Engineering for Territorial Intelligence
Chapter 2: Knowledge Management of Controlled Vocabularies in Healthcare and the Semantic Interoperability Challenge
Chapter 3: Cognitive Approach and Its Application to the Modeling of Strategic Management of Enterprises
Chapter 4: In Pursuit of High Quality Accreditation in Higher Education
Chapter 5: Obtaining Route Map for Higher Education, Student Permanence with Intelligent Tools