Automatic Rule Extraction from Frequent Rules in Similar Network Sites
Knowledge is an essential part of most Semantic Web applications and ontology. Ontology is the most important part of the knowledge. Ontology learning, which refers to extracting conceptual knowledge from several sources and building ontology from scratch, enriching, or adapting an existing ontology is one of the attempts at knowledge acquisition. Ontology is not sufficient to represent inferential knowledge. The ontology-based analysis with description logic is a popular issue of the Semantic Web. Rules are obtained from several sites of the same domain. The existing system has some problems in rule extracting.