Semantic ranking based on Computer Science Ontology weight

Abstract

Document Ranking retrieval systems are the top documents ordering and particularly appropriate for user's query. Most existing assigned based on the information retrieval term frequency (tf) that appears in the document. Although the number of times that the term occurrence is more relevant, but not meant for rank documents according to their proximity to user's query. So this paper, we presented a new document semantic ranking process for the semantic ranking that proposes a new weight of query term in the document based on Computer Science Ontology weight. The experimental results show that the new document similarity score between a user's query and the paper suggests that the new measures were effectively ranked.