Roberto Gejman (Computer Science Departament, Pontificia Universidad Católica de Chile, Santiago, CHILE)

An integrated set of definitions and distinctions in the information, communication and knowledge field is proposed.  It is argued that more attention must be given to records, usually confused with information.  Descriptions are shown to be the fundamental facts behind information. Information is defined as an abstract concept, free of material or syntactic constraints.  Information is observer free but it is dependent on the shared ontological background of communities. The world may be characterized as being structured by only six components.  Knowledge is the capacity to act effectively and it is not information. Information quantity and its relation with the entropy of physical systems are shown to be more ambiguous and less important than they are usually thought of.  It is argued that information studies should move on from these old concerns to confront the vital information challenges in this globalized information society with information superabundance.

  • Full article published in Triple C, 7(2), special issue What is really information?
  • Spanish article published in ¿Qué es información?, 2008

Roberto GEJMAN (Pontificia Universidad Católica de Chile)

This paper proposes a set of distinctions that may be helpful for the classification and taxonomy of the various theories, approaches, ideas and definitions of the concept of information. It hopes to offer a place as neutral as possible to locate, compare, classify and discuss the quite large amount of those developments. The main benefit is to be able to clean up the discussion from dialogues that expend a lot of time and energy in getting at a name consensus, naming ideas or classes of entities, instead of discussing the deep nature of those ideas or entities.
The paper suggest that most known approaches may be expressed in terms of the underlying distinctions and concludes that after giving consensus names to those dis-tinctions, a unified information and knowledge theory may be build.

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