Article: Ontology expansion based on UWN reusability Journal: International Journal of Information and Communication Technology (IJICT) 2020 Vol.16 No.4 pp.339 - 352 Abstract: In the present era of big data the demand for developing efficient knowledge representation techniques for different applications is expanding steadily. Knowledge representation is largely based on ontology in the Semantic Web. However, one of the major difficulties to construct a new ontology require users the high cost and long time. Collecting complete knowledge about the domain of opening is time consuming and cannot guarantee expected results too. Therefore, reuse of existing resources can offer a cost and time benefit than building a new one from scratch. Hence, an approach is proposed to reuse the existing ontologies available on the web or online libraries then enrich it. This paper proposed Uyghur domain ontology constructing method based on UWN reusability, which can extract domain ontology factors from UWN and get the initial ontology in which the concepts and relations are already relative standard, then expand it automatically via Word2Vec models, at last construct the final higher quality version after revising and improving. The method is simple, but effective on ontology enrichment. After evaluating the accuracy, the experimental results show that our method is feasible and effective. Inderscience Publishers - linking academia, business and industry through research

Title: Ontology expansion based on UWN reusability

Authors: Hankiz Yilahun; Sayyare Imam; Askar Hamdulla

Addresses: Institute of Information Science and Engineering, Xinjiang University, No. 666 Shengli Road, Tianshan District, Urumqi 830046, China ' School of Politics and Public Administration, Xinjiang University, No. 666 Shengli Road, Tianshan District, Urumqi830046, China ' Institute of Information Science and Engineering, Xinjiang University, No. 666 Shengli Road, Tianshan District, Urumqi 830046, China

Abstract: In the present era of big data the demand for developing efficient knowledge representation techniques for different applications is expanding steadily. Knowledge representation is largely based on ontology in the Semantic Web. However, one of the major difficulties to construct a new ontology require users the high cost and long time. Collecting complete knowledge about the domain of opening is time consuming and cannot guarantee expected results too. Therefore, reuse of existing resources can offer a cost and time benefit than building a new one from scratch. Hence, an approach is proposed to reuse the existing ontologies available on the web or online libraries then enrich it. This paper proposed Uyghur domain ontology constructing method based on UWN reusability, which can extract domain ontology factors from UWN and get the initial ontology in which the concepts and relations are already relative standard, then expand it automatically via Word2Vec models, at last construct the final higher quality version after revising and improving. The method is simple, but effective on ontology enrichment. After evaluating the accuracy, the experimental results show that our method is feasible and effective.

Keywords: Uyghur WordNet; domain ontology; reusability; Word2Vec; expand ontology.

DOI: 10.1504/IJICT.2020.107588

International Journal of Information and Communication Technology, 2020 Vol.16 No.4, pp.339 - 352

Received: 20 Apr 2019
Accepted: 30 May 2019
Published online: 01 Jun 2020 *

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Title: Ontology expansion based on UWN reusability

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