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A Logic for Information Systems

Studia Logica, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dmitry A. Archangelsky   +1 more
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Information and Information Systems

Information Processing & Management, 1993
The purpose of an information system is to collect, store, process and distribute information. The concept of information is itself not well understood. It is in some sense a relative concept, rather than an absolute one. That is, a data object is assumed to contain information if the receiver of the data interprets it in such a way that the received ...
Arne Sølvberg, David Chenho Kung
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An information system for developing information systems

Proceedings of the May 16-19, 1983, national computer conference on - AFIPS '83, 1983
This paper considers a paradigm for the development of software through the use of a complete, integrated-design database. A prototype information system for the implementation of information management systems is then described. This tool manages the requirement definitions, the process and data flow, and all design and operational documentation ...
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Information systems forensics

Journal of Information Technology, 1990
This paper discusses some current issues and methods related to the investigation and successful prosecution of crimes committed with or against computerized information systems. The paper maintains that a new extension to the forensic sciences is a major requirement in the fight against computer misuse and that this new branch of forensic science be ...
Paul A. Collier, Barry J. Spaul
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System as information—information as system

World Futures, 1997
It is tried to show that pragmatic information as a generalised concept of information plays a role as an interacting meaningful entity between systems. Systems are sources of information and information is able to build up systems. Therefore system and information seem to be two sides of the same coin.
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Soft information systems

Journal of Information Technology, 1990
This paper describes a category of information systems called ‘Soft information systems’. Basically these lie between conventional information systems in which data are well defined, and management support, and decision support systems. A soft system is a system which operates on soft data. Such data cover categories of information such as conjectures,
Ivan F. Jackson, David Hosking
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Nanophotonics for Information Systems

Frontiers in Optics 2009/Laser Science XXV/Fall 2009 OSA Optics & Photonics Technical Digest, 2009
The field of photonics finds applications in information technology, health care, lighting, and sensing. This paper explores the role of nanotechnology with focus on nanophotonics in dielectric and inhomogeneous metamaterials for optical communications, information and signal processing in data centers.
Yeshaiahu Fainman   +2 more
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Information systems evaluation and the information systems development process

Journal of Enterprise Information Management, 2004
In this paper, we consider the synergy between two areas of information system (IS) literature: that concerned with the evaluation of IS and that concerned with explaining the phenomenon of IS failure. On the basis of an analysis of both areas, a model is presented which attempts to integrate IS evaluation into the life cycle of IS development.
Paul Beynon-Davies   +2 more
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Integration of the Maintenance Information System with the Production Information System

IFAC Proceedings Volumes, 1998
This paper presents the structure of an information system for maintenance in different and complex groups of production plants: thermal power, heating plants, cement factories and sugar factories, equipment in the food processing, metal processing, electric and wood industries and machinery in civil construction industry, forestry and agricultural ...
Majdandžić, Niko, Šarić, Tomislav
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Geographic information systems as a marketing information system technology

Decision Support Systems, 2004
Marketing information systems (MKIS) are decision support systems targeted at marketing-specific decisions. One of the most widely disseminated MKIS models divides the marketing decision universe into four domains and links these domains to each other and to other marketing activities.
Hess, Ronald L.   +2 more
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