Modeling a Classification Scheme of Epileptic Seizures Using Ontology Web Language

Ontology For Crafting Specifications Of Domain Concepts

Historically, expert systems have been used to assist in medical decision making involving diagnosis, prediction, evaluation, monitoring (Heathfield, 1999; Hernandez, Sancho, Belmonte, Sierra, & Sanz, 1994; Keles & Keles, 2008; Liebowitz, 1997; Tsumoto, 2003). By encapsulating domain knowledge into a set of rules, expert systems simulate the performance of one or more human experts with expert knowledge and experience in a specific problem domain. With the advent of Semantic Web movement, a growing interest in ontologies is being noticed as means of representing human knowledge and as critical components in knowledge management over the Web. Various research communities commonly assume that ontologies are the appropriate modeling structure for representing knowledge. While expert systems emphasize technology, ontologies emphasize knowledge. Ontologies make a domain specific knowledge base reusable, sharable and interoperable. Domain-specific questions can then be answered by reasoning over such highly specialized knowledge. Ontologies have evolved in computer science as computational artifacts to provide computer systems with a conceptual yet computational model of a particular domain of interest. While expert systems provide excellent tools for reasoning with domain rules, they often lack the means to resolve semantic ambiguities inherent in the predicates and related facts. Hence, a key requirement is to reason in a semantically consistent way is to exploit both the ontology and the rule-based knowledge to draw inferences.