This paper suggests a new document ranking algorithm which evaluates documents retrieved in boolean information retrieval system. Such existing document ranking algorithms as Relevance, R-Distance, K-Distance, and E-Relevance evaluates similarity betw...
This paper suggests a new document ranking algorithm which evaluates documents retrieved in boolean information retrieval system. Such existing document ranking algorithms as Relevance, R-Distance, K-Distance, and E-Relevance evaluates similarity between a query and documents using hierarchical relation of thesaurus terms. In thesaurus, other relations as well as hierarchical relation is included. Using this important knowledge, similarity between a query and documents is evaluated more correct. A new document ranking algorithm suggested in this paper evaluates similarity between a query and documents using all relation in thesaurus.