A link analysis based ranking algorithm for semantic web documents

Semantic web is constructed by semantic documents (such as RDF and OWL documents) and its size is determined by the number of semantic documents that are available on the web. Each semantic document contains several triples and makes relations between different entities by them. The number of explicit links among semantic documents compared to existing hyperlinks among HTML documents is low. Hence to be able to calculating the rank scores of semantic documents, some methods are required to discover links among them. In this paper we are building a connected semantic document graph by use of explicit and implicit links. We also proposed a method that automatically assigns weights to different links. The obtained results show that the proposed method is successful in calculating ranks and improves the accuracy of the ranking algorithm.