A new hybrid improved method for measuring concept semantic similarity in WordNet

المؤلفون المشاركون

Sun, Shouqian
Zhang, Xiaogang
Zhang, Kejun

المصدر

The International Arab Journal of Information Technology

العدد

المجلد 17، العدد 4 (31 يوليو/تموز 2020)، ص ص. 433-439، 7ص.

الناشر

جامعة الزرقاء عمادة البحث العلمي

تاريخ النشر

2020-07-31

دولة النشر

الأردن

عدد الصفحات

7

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 437-439

رقم السجل

BIM-1430867