A Fast Algorithm for Ontology Similarity Measure and Ontology Mapping

摘要

Ontology similarity calculation and ontology mapping are important research topics in information retrieval. By analyzing the fast algorithm for learning large scale preference relations, we propose the fast algorithm for ontology similarity measure and ontology mapping. Via the ranking learning algorithm, the ontology graph is mapped into a line consists of real numbers. The similarity between two concepts then can be measured by comparing the difference between their corresponding real numbers. Experimental results show that the proposed algorithm has high accuracy and efficiency.