A Novel Approach to Generate OWL2 Models Using Case Based Reasoning

Abstract

This research paper investigates the novel approach to use CBR approach to generate OWL2 language. The idea of semantic web is described by Tim Berners Lee. He is also inventor of WWW. A book “Weaving the Web” by Tim Berners Lee, in this book he describes about his dream. The dream of Tim is to linking and connecting all things in this way that humans and computers understand the information CBR is a case base reasoning system in which we use previous cases to solve new case. To start a work from the scratch is always a time consuming and it requires extra effort and it can also produce complexity. To avoid complexity we can reuse the existing work, so it is the main purpose of CBR approach to utilize the existing work rather than start from the scratch. CBR approach provides much functionality and features to efficiently and accurately utilize the existing work. The term of “Semantic Web” is basically used for two things linked data and meaningful data. To make data meaningful for both humans and computers we use annotations. Annotations add additional information with the objects. The humans and computers understand the meaning of data through annotations. To make information link together we create ontologies. Ontologies create connection between classes, subclasses, object properties and data properties of knowledge domain. It creates a relationship among all entities. So, we can use CBR approach to generate ontologies. We can get help from existing ontologies to create new one. In semantic web we linked entities through ontologies. To create new ontologies we can use existing ontologies through CBR approach. CBR provides the opportunity to Retrieve ontology, Reuse ontology, Revise ontology and Retain ontology.