Improved ontology ranking algorithm based on semantic web

By exploring the advantages and weaknesses of two universally-used ontology ranking algorithms in the semantic web, namely, OntoRank algorithm and AKTiveRank algorithm, this paper proposes an integration of these two algorithms, the way which is achieved by extending the semantic terms set of user's query set. Experimental results indicate that the improved algorithm can better meet the needs of users and be more effective.