Integrating Knowledge Bases Using UML Metamodels
Pfeiffer T, Voss I (2003) .
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Autor*in
Pfeiffer, Thies;
Voss, Ian
Einrichtung
Abstract / Bemerkung
When merging different knowledge bases one has to cope with the problem of classifying and linking concepts as well as the possibly heterogeneous representations the knowledge is expressed in. We are presenting an implementation that follows the Model Driven Architecture (MDA) [Miller and Mukerji, 2003] approach defined by the Object Management Group (OMG). Metamodels defined in the Unified Modeling Language (UML) are used to implement different knowledge representation formalisms. Knowledge is expressed as a Model instantiating the Metamodel. Integrating Metamodels are defined for merging knowledge distributed over different knowledge bases.
Stichworte
Artificial Intelligence
Erscheinungsjahr
2003
Page URI
https://pub.uni-bielefeld.de/record/2426757
Zitieren
Pfeiffer T, Voss I. Integrating Knowledge Bases Using UML Metamodels.; 2003.
Pfeiffer, T., & Voss, I. (2003). Integrating Knowledge Bases Using UML Metamodels.
Pfeiffer, Thies, and Voss, Ian. 2003. Integrating Knowledge Bases Using UML Metamodels.
Pfeiffer, T., and Voss, I. (2003). Integrating Knowledge Bases Using UML Metamodels.
Pfeiffer, T., & Voss, I., 2003. Integrating Knowledge Bases Using UML Metamodels,
T. Pfeiffer and I. Voss, Integrating Knowledge Bases Using UML Metamodels, 2003.
Pfeiffer, T., Voss, I.: Integrating Knowledge Bases Using UML Metamodels. (2003).
Pfeiffer, Thies, and Voss, Ian. Integrating Knowledge Bases Using UML Metamodels. 2003.
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