Journal ArticleDOI
Grouping knowledge-base data into distributable clusters
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TLDR
Methods for structuring, partitioning, and clustering KB data for distributed computations, using some common relational information of the data objects to facilitate a computational efficiency.Abstract:
Knowledge-base data are constructed from domains and subdomains of specific problem or application areas. Usually, the domains are not necessarily distinct because the original problem may have many interrelated components. As a result, the processing of the data becomes lengthy and windable. However, KB data can be reorganized into groups or clusters using some common relational information of the data objects. The reorganization process isolates the data and localizes the interdependency within the clusters, leaving weak linkages between clusters. Therefore, the clusters offer opportunities for mapping the data into distributed or parallel processing environments to facilitate a computational efficiency. The focus of this paper is on methods for structuring, partitioning, and clustering KB data for distributed computations.read more
Citations
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Proceedings ArticleDOI
A method for integrating heterogeneous knowledge-bases
P.O. Bobbie,J.E. Urban +1 more
TL;DR: Techniques for integrating knowledge-bases in distributed settings, without hindering the simultaneous access to local (native) representations, are addressed, based on the clustering of knowledge-base data entities.
Book ChapterDOI
FRESCO: Kooperative wissensbasierte Systeme an der Kundenschnittstelle von Finanzdienstleistern
TL;DR: In der Allfinanz-Kundenberatung, die Leistungserstellung in vernetzten Organisationsstrukturen erfolgt.
References
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Book
Parallel Execution of Logic Programs
TL;DR: The author explains how the AND/OR Process Model, a model for parallelism in Logic Programs, and the Interpreter, a programming language based on Oracle, changed the way that people thought about and understood parallelism.
Proceedings ArticleDOI
A model for understanding complexities of developing large-scale software systems
P.O. Bobbie,J.E. Urban +1 more
TL;DR: The authors discuss a set of solutions to the problem of modeling the relationships between the entities of large-scale software processes and the development environments using matrix models, and includes an algorithmic method for decomposing the models into subprocesses.