Rule-Based Ontology Decision Model

Rule-Based Ontology Decision Model

DOI: 10.4018/978-1-4666-9873-4.ch008
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Abstract

In chapter 7, we examined some selected case study applications of some decision support systems. Those considered were the matrix-based used in determining labour cost, sub-chaining method, linear regression, optimization (i.e. minimization) technique and Markov decision process. As earlier discussed, our focus will be on rule-based decision support systems. This is because rule-based systems are more encompassing and can easily be employed to deal with complex decision about construction activities. Hence in this chapter, an overview of rule-based decision system will be examined.
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What Is Ontology And Why Is It Important?

Definition of an Ontology

The definition of an ontology has been evolving over the years. Many different definitions have so far been coined depending on the philosophy of the knowledge community. Among these definitions, the most generally accepted and widely used definition is that of Gruber (1993) which states that “an ontology is an explicit specification of a conceptualisation”. In other words an ontology can be thought of as a specification of how the knowledge of a particular domain can be modelled (represented, described or structured) (Alesso & Smith 2009; Milton 2008). In modelling a particular knowledge domain, concepts are given well-defined meanings and the relationships between the concepts are well-established. The concepts, relationships, between the concepts and attributes of concepts in a particular domain constitute the main components of an ontology.

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