scholarly journals The technological knowledge base for industrializing countries

1979 ◽  
Author(s):  
Raymond C Sangster
2017 ◽  
Vol 62 (2) ◽  
pp. 715-720 ◽  
Author(s):  
K. Regulski

AbstractThe process of knowledge formalization is an essential part of decision support systems development. Creating a technological knowledge base in the field of metallurgy encountered problems in acquisition and codifying reusable computer artifacts based on text documents. The aim of the work was to adapt the algorithms for classification of documents and to develop a method of semantic integration of a created repository. Author used artificial intelligence tools: latent semantic indexing, rough sets, association rules learning and ontologies as a tool for integration. The developed methodology allowed for the creation of semantic knowledge base on the basis of documents in natural language in the field of metallurgy.


2021 ◽  
pp. 1-31
Author(s):  
Peter Persoon ◽  
Rudi Bekkers ◽  
Floor Alkemade

Abstract Technological cumulativeness is considered one of the main mechanisms for technological progress, yet its exact meaning and dynamics often remain unclear. To develop a better understanding of this mechanism we approach a technology as a body of knowledge consisting of interlinked inventions. Technological cumulativeness can then be understood as the extent to which inventions build on other inventions within that same body of knowledge. The cumulativeness of a technology is therefore characterized by the structure of its knowledge base, which is different from, but closely related to, the size of its knowledge base. We analytically derive equations describing the relation between the cumulativeness and the size of the knowledge base. In addition, we empirically test our ideas for a number of selected technologies, using patent data. Our results suggest that cumulativeness increases proportionally with the size of the knowledge base, at a rate which varies considerably across technologies. Furthermore, this rate is inversely related to the rate of invention over time. This suggests that the cumulativeness increases relatively slow in rapidly growing technologies. In sum, the presented approach allows for an in depth, systematic analysis of cumulativeness variations across technologies and the knowledge dynamics underlying technology development. Peer Review https://publons.com/publon/10.1162/qss_a_00140


2016 ◽  
Vol 17 (3) ◽  
pp. 243-250 ◽  
Author(s):  
Alicja E. Gudanowska

The purpose of the article was to exhibit the technology mapping method as one of the methods which may be used in foresight research. Foresight studies was described in the context of technology as well as technology analysis. The main part of the article is the presentation of an original proposal of a technology mapping method enabling to diagnose the current state of technology. The execution of the method should allow to maximise the resources of knowledge on specific technologies. A list of technological knowledge base elements which might emerge as a result of the process was also described.


2007 ◽  
Vol 04 (01) ◽  
pp. 15-39 ◽  
Author(s):  
VIRGINIA ACHA ◽  
STEFANO BRUSONI ◽  
ANDREA PRENCIPE

We consider here the governance of learning and the diffusion of technological knowledge in the civil aircraft industry. We describe a systemic process by which specialization in knowledge encourages depth whilst breadth is captured through the integration of contributions by the lead manufacturer, which acts as systems integrator. We explore the boundaries of the knowledge bases related to airframe structure and systems and aircraft instrumentation by using patents as tracers, considering the range of scientific and technological disciplines related to the industry as well as the sources of that knowledge. We conclude that knowledge base supporting the aeronautics industry is complex and multidisciplinary, and that firms acting as system integrators have to hold the broadest knowledge bases to co-ordinate design and production.


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