Semantic applications for ontological information theory

Abstract

Information theory is a field that has applications in several scientific domains. This field, which was initially proposed by Claude Shannon, is interdisciplinary; it combines probability, electrical engineering, information engineering, computer science, and statistics. Representing knowledge in information theory provides scientific scholars a resourceful reference for the filed. By learning the precise terminology used in information theory, researchers can discover documents in the domain. In addition, they can communicate knowledge and ideas by using the accurate jargon. A scientific ontology representing knowledge corpus can be implemented digitally by articulating the concepts in the domain of information theory using semantic graphs. These scientific semantic artifacts are valuable with Web 3 technologies. They facilitate searching documents online by providing precise related results. In addition, it is expected that the semantic knowledge to be applicable in Web service applications based on information theory as Web services are software components that communicate information. This work presents an ontology for the Information theory. The ontology conceptualizes the knowledge of information domain by identifying the main concepts, principles, equations, metrics, and history of information theory. The ontology composed of classes, instances, and properties is built using protege, an ontology editor, and is stored in OWL format. Educational applications for the built ontology are indicated.