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Concept Meaning Acquisition based on HowNet and Its Application in the Construction of Taxonomy

Volume 14, Number 7, July 2018, pp. 1459-1467
DOI: 10.23940/ijpe.18.07.p9.14591467

Jian Xua, Jianhou Ganb, Xianming Yaoa, and Liming Zhangc

aSchool of Information Engineering, Qujing Normal University, Qujing, 655011, China
bKey Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, 650500, China
cSchool of Humanities, Qujing Normal University, Qujing, 655011, China

(Submitted on April 2, 2018; Revised on May 13, 2018; Accepted on June 11, 2018)

Abstract:

In studies related to the construction of domain ontology, the acquisition of concept meaning has not received enough attention. According to the definition of the concept, the acquisition of concept meaning is a requisite task in the process of ontology construction. This paper studied the automatic acquisition of concept meaning based on HowNet and researched the problem of meaning acquisition for complex terms and synonym removal. Grounded on concept meaning, this paper put forward a sememe suffix tree algorithm and applied it to the construction of ontology taxonomy. Compared to traditional algorithms, this method is more efficient and comprehensible. This paper implemented the methods to the domain of ethnic minorities, and the experimental results showed that this paper is referable.

 

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