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Mapping discovery modeling and its empirical research for the scientific and technological knowledge concept in unified concept space

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Abstract

For heterogeneous scientific and technical knowledge organization systems (HSTKOSs), computer-aided concept mapping discovery becomes very difficult among HSTKOSs. First, this paper puts forward and establishes a common data model (CDM) oriented to the HSTKOS used for the standardized description of scientific and technological knowledge concepts. Then, in the mapping discovery algorithm, the algorithms to discover the relations of inheritance, “is a characteristic of”, “is a part of”, relevance and other partial ordering relations between heterogeneous concepts are put forward and designed through mapping transfer. Finally, the empirical results show that in public concept space, the mapping discovery algorithm, put forward and designed by this paper, is feasible and can have certain practical significance.

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Acknowledgements

Support from the National Natural Science Foundation of China under Grant No 71271200 and National Twelfth “Five-Year Plan” for Science and Technology Support Program under Grant Nos 2011BAH10B04, 2011BAH10B02 are greatly acknowledged.

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Authors and Affiliations

  1. Institute of Scientific and Technical Information of China, Beijing, China

    Lijun Zhu & Chen Shi

  2. Center for Energy & Environmental Policy Research, Institute of Policy and Management, Chinese Academy of Sciences, Beijing, China

    Jianfeng Guo

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  1. Lijun Zhu
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  2. Chen Shi
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  3. Jianfeng Guo
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Correspondence to Jianfeng Guo.

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Zhu, L., Shi, C. & Guo, J. Mapping discovery modeling and its empirical research for the scientific and technological knowledge concept in unified concept space. Cluster Comput 18, 103–112 (2015). https://doi.org/10.1007/s10586-013-0339-7

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  • DOI: https://doi.org/10.1007/s10586-013-0339-7

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