A Mode of Analysis of the Scientific Infrastructure of Information and Communication Technologies
DOI:
https://doi.org/10.52712/issn.1850-0013-932Keywords:
graphs theory, network analysis, technological forecast, semantic web, information society, knowledge societyAbstract
The objective of this work is to present a way to analyze the state and the evolution of the scientific research (called “scientific infrastructure” in the title) from where are generated the information and communication technologies (ICTs), which can be found at the base of the information society and are essential to the rise of a knowledge society. Is it possible to anticipate, from the scientific research, which will be the new generation of ICTs? With the purpose of giving an answer, we propose a method illustrated by a case study on the “semantic Web” (2004-2005) represented by 795 bibliographical data. The method is based on the definition of a system of categories, called classifier, in which the concepts originating from the data are arranged according to a statistical order. The system of categories and concepts is then modelled within the parametres of the graph theory. We maintain that this way of analysis can be generalized to the study of other cases, aside from the example of the “semantic Web” that appears in this work.
Downloads
References
BERNERS-LEE, T. HENDLER, J. y LASSILA, O. (2001): “The Semantic Web”, Scientific American, Mayo, p. 34-43.
CALLON, M., COURTIAL, J. P., TURNER, W. A. y BAUIN, S. (1983): “From translations to problematic networks: An introduction to co-words analysis”, Social Science Information, vol. 22, p. 191-235.
CALLON, M., LAW, J. y RIP, A. (eds) (1986): Mapping the Dynamics of Science and Technology, London, Macmillan Press.
COURTIAL, J. P. (1990): Introduction à la scientométrie, Paris, Anthropos-Economica.
SHADBOLT, N., HALL, W. y BERNERS-LEE, T. (2006): “The Semantic Web Revisited”, IEEE Intelligent Systems, Mayo/Junio, p. 96-101.
STAAB, S. y R. STUDER, R. (eds.) (2004): Handbook on Ontologies, Berlin, Springer.
WASSERMAN, S. y FAUST, K. (1999) Social Network Analysis. Methods and Applications, Londres, Cambridge University Press
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 CC Attribution 4.0

This work is licensed under a Creative Commons Attribution 4.0 International License.
All CTS's issues and academic articles are under a CC-BY license.
Since 2007, CTS has provided open and free access to all its contents, including the complete archive of its quarterly edition and the different products presented in its electronic platform. This decision is based on the belief that offering free access to published materials helps to build a greater and better exchange of knowledge.
In turn, for the quarterly edition, CTS allows institutional and thematic repositories, as well as personal web pages, to self-archive articles in their post-print or editorial version, immediately after the publication of the final version of each issue and under the condition that a link to the original source will be incorporated into the self-archive.