In order to realise a truly distributed knowledge-based system not only the knowledge processing step has to be carried out in a distributed way, but also the knowledge acquisition step. This paper’s focus1 lies on the distributed knowledge sources of the SEASALT architecture [Reichle et al., 2009a] and their management and (optimised) querying using a Coordination Agent [Bach et al., 2008]. Wi...

Software engineering utilizes selected knowledge sources from which the fundamental concepts for the software solution can be extracted. The quality of the adopted knowledge sources intrinsically defines the quality of the software solution. This quality of knowledge sources is, on the one hand, determined by its objectivity value, and on the other hand, by its relevance value for the given pro...

This study proposes a modified version of cultural algorithms (CAs) which benefits from rule-based system for influence function. This rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. This is important to use appropriate influence function to apply to a specific individual, regarding to its role in the search process. This rule ...

In the global race for competitive advantage Knowledge Management gains increasing importance for companies. The purposeful and systematic creation, maintenance, and transfer of unstructured knowledge sources demands for advanced Information Technology. Ontologies constitute a basic ingredient of Knowledge Management; thus, ontology learning from unstructured knowledge sources is of particular ...

Domain knowledge has been shown to be an important component of machine learning. However, the cost of obtaining domain knowledge to improve classifier generation can exceed the cost of manually creating classifiers. An alternative approach is to use existing knowledge sources to collect relevant domain knowledge, and improve machine learning. We investigated the use of two existing knowledge s...

The objective of the research is to offer a methodology providing a feasible functionality of context-aware systems for the users. The systems are considered consisting of a set of knowledge sources. These sources are involved in knowledge fusion processes to support the systems functionalities. The core of the methodology is knowledge fusion patterns. They characterize knowledge sources involv...