A method of computing conceptual semantic similarity based on part-whole relationship

Abstract Conceptual semantic similarity calculation is an important content in research fields such as natural language processing, machine translation and is widely used in information retrieval, knowledge acquisition, text classification, and clustering. It’s very important to development of natural language processing by improving the accuracy of semantic similarity calculation. This paper proposes a method for calculating the similarity of concepts based on the part-whole relationship between concepts. This method is based on the partial overall relationship diagram and uses the hierarchical features and positions of the concepts in the diagram to calculate the conceptual similarity.