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.