A new hybrid improved method for measuring concept semantic similarity in WordNet
Joint Authors
Sun, Shouqian
Zhang, Xiaogang
Zhang, Kejun
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 4 (31 Jul. 2020), pp.433-439, 7 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-07-31
Country of Publication
Jordan
No. of Pages
7
Abstract EN
Abstract: Computing semantic similarity between concepts is an important issue in natural language processing, artificial intelligence, information retrieval and knowledge management.
The measure of computing concept similarity is a fundament of semantic computation.
In this paper, we analyze typical semantic similarity measures and note Wu and Palmer’s measure which does not distinguish the similarities between nodes from a node to different nodes of the same level.
Then, we synthesize the advantages of measure of path-based and IC-based, and propose a new hybrid method for measuring semantic similarity.
By testing on a fragment of WordNet hierarchical tree, the results demonstrate the proposed method accurately distinguishes the similarities between nodes from a node to different nodes of the same level and overcome the shortcoming of the Wu and Palmer’s measure.
American Psychological Association (APA)
Zhang, Xiaogang& Sun, Shouqian& Zhang, Kejun. 2020. A new hybrid improved method for measuring concept semantic similarity in WordNet. The International Arab Journal of Information Technology،Vol. 17, no. 4, pp.433-439.
https://search.emarefa.net/detail/BIM-1430867
Modern Language Association (MLA)
Zhang, Xiaogang…[et al.]. A new hybrid improved method for measuring concept semantic similarity in WordNet. The International Arab Journal of Information Technology Vol. 17, no. 4 (Jul. 2020), pp.433-439.
https://search.emarefa.net/detail/BIM-1430867
American Medical Association (AMA)
Zhang, Xiaogang& Sun, Shouqian& Zhang, Kejun. A new hybrid improved method for measuring concept semantic similarity in WordNet. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 4, pp.433-439.
https://search.emarefa.net/detail/BIM-1430867
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 437-439
Record ID
BIM-1430867