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| Research on Hierarchy Identification of Chinese Terms in the Field of E-government |
| Zhang Wei1,2, Wang Hao1,2, Deng Sanhong1,2, Zhang Baolong1,2 |
1.School of Information Management, Nanjing University, Nanjing 210023
2.Jiangsu Key Laboratory of Data Engineering and Knowledge Service, Nanjing University, Nanjing 210023 |
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Abstract Driven by data, the characteristics of multi-source heterogeneity have been demonstrated among an increasing number of e-government information resources. Utilizing a large-scale corpus to design an automatic identification scheme for the deep hierarchy of Chinese terms in the field of e-government not only compensates for the lack of a man-made thesaurus in terms of content and structure but also has great practical significance for the dissemination and subsequent application of government information resources in China. Therefore, in line with the dual perspectives of content and structure, the deep associations between terms in the e-government thesaurus are identified in this paper. The content-based hierarchy that is generated by spectral clustering is utilized as the preliminary framework and the structure-based hierarchy that is generated by formal concept analysis is employed as the later modification guide, in order to form the ontology of e-government terms that accounts for the recall and accuracy rates of related terms. The results reveal that the hierarchy of the ontology of e-government terminology is reasonable and effective, and the evaluation results of the term hierarchies illustrate that the knowledge ontology has excellent expansibility and extensibility.
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Received: 07 November 2019
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