Abstract
An ontological model of an information system that provides precise definitions of fundamental concepts like system, subsystem, and coupling is proposed. This model is used to analyze some static and dynamic properties of an information system and to examine the question of what constitutes a good decomposition of an information system. Some of the major types of information system formalisms that bear on the authors' goals and their respective strengths and weaknesses relative to the model are briefly reviewed. Also articulated are some of the fundamental notions that underlie the model. Those basic notions are then used to examine the nature and some dynamics of system decomposition. The model's predictive power is discussed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Keywords
Rotation formalisms in three dimensionsComputer scienceDecompositionInformation systemStrengths and weaknessesTheoretical computer scienceArtificial intelligenceSoftware engineeringEpistemologyMathematics
Affiliated Institutions
Related Publications
Microdata disclosure limitation in statistical databases: query size and random sample query control
A probabilistic framework can be used to assess the risk of disclosure of confidential information in statistical databases that use disclosure control mechanisms. The authors s...
Adaptive model architecture and extended Kalman-Bucy filters
In radar systems, extended Kalman-Bucy filters (EKBFs) are used to estimate state vectors of objects in track. Filter models accounting for fundamental aerodynamic forces on ree...
From data properties to evidence
The problem of making decisions among propositions based on both uncertain data items and arguments which are not certain is addressed. The primary knowledge discovery issue add...
Time-frequency distributions-a review
A review and tutorial of the fundamental ideas and methods of joint time-frequency distributions is presented. The objective of the field is to describe how the spectral content...
Probabilistic visual learning for object detection
We present an unsupervised technique for visual learning which is based on density estimation in high-dimensional spaces using an eigenspace decomposition. Two types of density ...
Publication Info
- Year
- 1990
- Type
- article
- Volume
- 16
- Issue
- 11
- Pages
- 1282-1292
- Citations
- 596
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
596
OpenAlex
Cite This
Yair Wand,
Ron Weber
(1990).
An ontological model of an information system.
IEEE Transactions on Software Engineering
, 16
(11)
, 1282-1292.
https://doi.org/10.1109/32.60316
Identifiers
- DOI
- 10.1109/32.60316