Using a Data-Oriented Approach to Decide on Similarity of Objects During Domain Analysis

Using a Data-Oriented Approach to Decide on Similarity of Objects During Domain Analysis

Abstract

Domain analysis has been recognized to be an important factor in systems engineering. However, due to the relatively short time we have spent investigating this concept of a conceptual model on a level above the single project, we still face severe problems with respect to methodologies and tool-support. Our contribution focuses on the problem to decide on similarities between (data) objects. We suggest the use of a meta (data) structure which handles similarity as a semantic concept. This model goes beyond the usual classification and generalization techniques by supporting so called "generic properties". Using such a meta model, we will be able to define an algorithm which retrieves from the meta data structure a set of objects which are similar to a user-defined starting set of object descriptions. This approach will provide us with a basis to integrate objects of an application domain into one comprehensive structure and to approach the problem of multiple overlapping domain models.

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Authors
  • Eder, Johann
  • Rossak, Wilhelm
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  • © World Scientific
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Shortfacts
Category
Journal Paper
Divisions
Workflow Systems and Technology
Journal or Publication Title
Cybernetics and Systems Research 1992
Publisher
World Scientific
Page Range
pp. 81-88
Number
1
Volume
1
Date
January 1992
Official URL
http://www.pri.univie.ac.at/Publications/1992/Eder...
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