Open AccessA method of computing conceptual semantic similarity based on part-whole relationship
Author(s) -
Xinyu Cao,
Jing Zhao,
Fan Zhang,
Gang Wu,
Chao Zhao,
Haitao Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1544/1/012046
Subject(s) - computer science , semantic similarity , similarity (geometry) , natural language processing , diagram , information retrieval , artificial intelligence , cluster analysis , machine translation , data mining , database , image (mathematics)
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.