On New Algorithm in Building the Most Relevant Ontology Mapping in Semantic Web
Jia Fang · 2015
The approach of presenting and managing the massive semantic information in implied domain knowledge is the main factor restricting the technical development of data mining and the research on information systems. By analyzing the features of ontology semantic items and the impact of the correlative semantic items on the knowledge representation, this paper puts forward a new standard of evaluating the importance of semantic items, establishes a new strategy of measuring the correlation between semantic items and proposes a new algorithm in building the most relevant ontology mapping in semantic web. The ontology created by this algorithm can represent domain knowledge more accurately and minimize the human interaction.