Study Of Knowledge Representation In Semantic Web

The World Wide Web is an information resource with virtually unlimited potential. However, this potential is relatively untapped because it is difficult for machines to process and integrate this information meaningfully. In order to resolve the above problem,researchers have a new concept------Semantic Web. Rather than rely onnatural language processing to extract this meaning from existing documents, this approach requires authors to describe documents using a knowledge representation language. So, currently, semantic web research stays on an initial stage, mainly focusing on the ontology layer and lower layers, and knowledge representation and reasoning are the key issues that need to be resolved first.Beginning with the approach of knowledge representation, and based on the architecture of semantic web, the author has paid more attention on the lower layers, study RDF(S) and OWL in depth, the main focus is on the rational classification of semantic representation capability and the analysis of the code specification. At the same time, the author explicitly illustrated the predefinition of vocabulary and its usage structure by diagrams.Based on the study conducted, the author defined a newlayer------RRL(Restriction Represent Layer) on the OWL and appendednew class , resolved the problem that the scarcity of OWL in restriction and rule representation. A prototype of traditional Chinese medicine information retrieval system based on ontology, as an applied example, shows the Depth-first information retrieval arithmetic, and the traditional Chinese medicine ontology is built too.The study is the fundamental of the approach of knowledge representation and the knowledge representation language.