Researchers have been investigating the study of decision tables for
more than fifty years. As an important tool to support Information
System Management, it is widely used by non-technical business people.
The interest of decision tables has been rising steadily. Semantic
Decision Tables (SDTs), as a kind of advanced decision tables, provide a
means to capture and examine decision makers' concepts, as well as a
tool for refining their knowledge and facilitating knowledge sharing in
a scalable manner. SDT adapts modern ontology engineering (OE)
technologies to refine the semantics in a decision table (or any well
structured decision resources). This book covers three parts -
background, theory and application - in order to support the full
engineering cycle of SDT. Three SDT applications, which are applied in
the domain of human resource management, show the possibilities of using
SDT to monitor processes and present semantically rich decision rules to
non-technical business people. The goal of this book is to stimulate new
ideas of applying modern OE to existing business decision support tools.