Constructing an information science resource ontology based on the Chinese Social Science Citation Index
Abstract
Purpose
The purpose of this study is to construct a Chinese information science resource ontology and to explore a new method for semiautomatic ontology construction.
Design/methodology/approach
More than 8,290 articles indexed in the Chinese Social Science Citation Index (CSSCI), covering the years 2001 to 2010, were included in this study. Statistical analysis, co-occurrence analysis, and semantic similarity methods were applied to the selected articles. The ontology was built using existing construction principles and methods, as well as categories and hierarchy definitions based on CSSCI indexing fields.
Findings
Seven categories were found to be relevant for the Chinese information science resource ontology, which, in this study, consists of a three-tier architecture, 78,291 instances, and 182,109 pairs of semantic relations. These results indicate the following: further improvements are required in ontology construction methods; resource ontology is a breakthrough concept in ontology studies; the combination of semantic similarities and co-occurrence analysis can quantitatively describe relationships between concepts.
Originality/value
This study pioneers the resource ontology concept. It is one of the first to combine informetric methods with semantic similarity to reveal deep relationships in textual data.
Keywords
Acknowledgements
This paper was supported by a major program of the national social science foundation of China, “Semantic-based deep integration and visualisation of library resources” (11&ZD152), the High-level International Journal Program of Wuhan University (2012GSP032), and the Fundamental Research Funds for the Central Universities “Semantic information retrieval based on resource ontology” (2013104010201). The authors would like to thank Yu Fan, Li Yue and Li Mengru for their helpful suggestions for improving this manuscript.
Citation
Qiu, J. and Lou, W. (2014), "Constructing an information science resource ontology based on the Chinese Social Science Citation Index", Aslib Journal of Information Management, Vol. 66 No. 2, pp. 202-218. https://doi.org/10.1108/AJIM-10-2013-0114
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited