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Ontology-Based Information Systems Development: The Problem of Automation of Information Processing Rules.

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Názov: Ontology-Based Information Systems Development: The Problem of Automation of Information Processing Rules.
Autori: Yakhno, Tatyana, Neuhold, Erich J., Vasilecas, Olegas, Bugaite, Diana
Zdroj: Advances in Information Systems; 2006, p187-196, 10p
Abstrakt: The business rule approach is used in information systems to represent domain knowledge and to maintain rules systems efficiently in volatile business environment. A number of methods were proposed to develop rule models, but only few deal with reuse of knowledge acquired in the analysis of some particular domain and automatic implementation of rules. In this paper, a method for representing knowledge by ontology transformation into the rule model is described. The method is based on ontology transformation of axioms presented in a formal way into (semi-) formal information processing rules in the form of executable rules, like active DBMS triggers. The method is implemented into the developed prototype, which is described in the case study section. Keywords: Ontology, ECA rule, SQL trigger, axiom. [ABSTRACT FROM AUTHOR]
Copyright of Advances in Information Systems is the property of Springer eBooks and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Advances in Information Systems; 2006, p187-196, 10p
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  Data: The business rule approach is used in information systems to represent domain knowledge and to maintain rules systems efficiently in volatile business environment. A number of methods were proposed to develop rule models, but only few deal with reuse of knowledge acquired in the analysis of some particular domain and automatic implementation of rules. In this paper, a method for representing knowledge by ontology transformation into the rule model is described. The method is based on ontology transformation of axioms presented in a formal way into (semi-) formal information processing rules in the form of executable rules, like active DBMS triggers. The method is implemented into the developed prototype, which is described in the case study section. Keywords: Ontology, ECA rule, SQL trigger, axiom. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Advances in Information Systems is the property of Springer eBooks and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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