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

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.