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Cluster Computing
Published in: Cluster Computing 1/2015

01-03-2015

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

Authors: Lijun Zhu, Chen Shi, Jianfeng Guo

Published in: Cluster Computing | Issue 1/2015

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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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Metadata
Title
Mapping discovery modeling and its empirical research for the scientific and technological knowledge concept in unified concept space
Authors
Lijun Zhu
Chen Shi
Jianfeng Guo
Publication date
01-03-2015
Publisher
Springer US
Published in
Cluster Computing / Issue 1/2015
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-013-0339-7

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