Unified concept space and mapping discovery algorithm for heterogeneous knowledge systems

Abstract

For heterogeneous scientific and technical knowledge systems (HSTKSs), the computer-aided concept-mapping discovery becomes very difficult among the HSTKSs. First, this paper puts forward and establishes a public concept model oriented to the HSTKS 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 have certain practical significance. © Springer-Verlag Berlin Heidelberg 2014.