Improved Model for Concept Similarity Evaluation with High Precision for Single Ontology
Lisong Wang · 2009
Concept similarity evaluation is widely used in concept classification,concept gathering and concept merging.Previous single-ontology-oriented models were centered on matched concept characteristics and semantic analysis.Since they did not take enough factors into consideration,the obtained results were inaccurate,therefore of less value for exploring relations among concepts.This paper makes the matched concept characteristics more complete,takes characteristics which are not processed among concepts as similarity,assigns different weights according to the semantic hierarchy of the concepts,and proposes an improved concept similarity calculation model with high precision.Experimental results show that the improved model is more accurate.