Search (127 results, page 1 of 7)

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Abstract

This paper suggests a framework and systematic definitions for 6 words commonly used in dthe field of information science: data, information, knowledge, wisdom, inspiration, and intelligence. We intend these definitions to lead to a quantification of information science, a quantification that will enable their measurement, manipulastion, and prediction.

Date

22. 2.2007 18:56:23
22. 2.2007 19:22:13

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COMPASS

Artificial intelligence

LCSH

Artificial intelligence

Subject

Artificial intelligence
Artificial intelligence

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Abstract

Provocative opinions offered to start and enliven a dialogue between representatives from the field of artificial intelligence and library and information science

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Footnote

Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].

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Abstract

The new term Representation of knowledge, applied to the framework of electronic segments of information, with comprehension of new material support for information, and a review and total conceptualisation of the terminology which is being applied, entails a review of all traditional documentary practices. Therefore, a definition of the concept of Representation of knowledge is indispensable. The term representation has been used in westere cultural and intellectual tradition to refer to the diverse ways that a subject comprehends an object. Representation is a process which requires the structure of natural language and human memory whereby it is interwoven in a subject and in conscience. However, at the present time, the term Representation of knowledge is applied to the processing of electronic information, combined with the aim of emulating the human mind in such a way that one has endeavoured to transfer, with great difficulty, the complex structurality of the conceptual representation of human knowledge to new digital information technologies. Thus, nowadays, representation of knowledge has taken an diverse meanings and it has focussed, for the moment, an certain structures and conceptual hierarchies which carry and transfer information, and has initially been based an the current representation of knowledge using artificial intelligence. The traditional languages of documentation, also referred to as languages of representation, offer a structured representation of conceptual fields, symbols and terms of natural and notational language, and they are the pillars for the necessary correspondence between the object or text and its representation. These correspondences, connections and symbolisations will be established within the electronic framework by means of different models and of the "goal" domain, which will give rise to organisations, structures, maps, networks and levels, as new electronic documents are not compact units but segments of information. Thus, the new representation of knowledge refers to data, images, figures and symbolised, treated, processed and structured ideas which replace or refer to documents within the framework of technical processing and the recuperation of electronic information.

Date

2. 1.2005 18:22:25

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LCSH

Artificial intelligence
Artificial Intelligence

Subject

Artificial intelligence
Artificial Intelligence

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Date

22. 7.2000 19:01:22

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Source

Politische Meinung. 381(2001) Nr.1, S.65-74 [https%3A%2F%2Fwww.dgfe.de%2Ffileadmin%2FOrdnerRedakteure%2FSektionen%2FSek02_AEW%2FKWF%2FPublikationen_Reihe_1989-2003%2FBand_17%2FBd_17_1994_355-406_A.pdf&usg=AOvVaw2KcbRsHy5UQ9QRIUyuOLNi]

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Source

http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_

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Abstract

Information and meaning is the third book in a trilogy exploring the nature of information, intelligence and meaning. It begins by providing an overview of the first 2 works of the trilogy, then goes on to consider the meaning of meaning. This exploration leads to a theory of how the brain works. This book differs from others in the field, in that it is written from the perspective of a theoretical biologist looking at the evolution of information systems as a basis for studying the phenomena of information, intelligence and meaning. It describes how neurons create a brain which understands information inputs and then is able to operate on such information

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LCSH

Artificial intelligence

Subject

Artificial intelligence

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Content

Information science; its roots and relations as viewed from the perspective of cognitive science; informatics (computer and information science), its ideology, methodology, and sociology; intellectual issues in the history of artificial intelligence; linguistcs and its relations to other disciplines; library and information sciences; disciplinary differentiation, competition, and convergence; cybernetics; thirty years of information theory; on system theory and its relevance to problems in information science; system theory, knowledge and the social sciences

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Source

Artificial intelligence review. 9(1995) nos.4/5, S.347-358

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Abstract

Summarizes the different knowledge transfer practices that will dominate besiness and organizations in the next few years. Discusses cyberspace and the trend towards virtualization and sets out the differences between data, information, knowledge, intelligence, and wisdom. Describes the context of external cyberspace and the Internet, and dealing with a surplus of information. Discusses internal cyberspace and the use of forums, and addresses the question of the virtualization of paper based information centres

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Abstract

Proposes taht, while it is not impossible that people will be able to communicate directly in ordinary language, it is highly unlikely that this will ever be achieved. Applies the ideas of Martin Heidegger to show that language is not normally used for the exchange of information but calls to attention some aspect of the world the language users already share. Considers the implications for artificial intelligence researchers

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Date

17. 7.1996 9:33:22
22. 7.2000 19:05:41