Authors:
Daniel Spieldenner
1
;
André Antakli
1
;
Torsten Spieldenner
2
and
Harkiran Sahota
2
Affiliations:
1
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Campus D3 2, Saarbrücken, 66123, Saarland, Germany
;
2
Lappeenranta-Lahti University of Technology LUT, Yliopistonkatu 34, Lappeenranta, 53850, Finland
Keyword(s):
Intelligent Systems, Semantic Web, Interoperability, Multi Agent Systems.
Abstract:
Connecting participants in heterogenous environments and allowing for seamless interaction is a challenging task that requires profound knowledge of the system envolved and data exchanged. The knowledge on how to integrate and use certain systems is usually given in the form of manuals, code documentation or needs to be derived by the developer by understanding and interpreting source code or data sets. With this work, we propose an approach to provide this knowledge about data via so called semantic support points, making use of Semantic Web technologies and appropriate ontologies, in a resource efficient fashion by creating semantic representations only when and where needed. Instead of just providing semantic meta data to describe actors in the environment, we make it possible to embed actual data values from data sources like databases and payloads exchanged between systems into a virtual semantic cloud, allowing for interactions purely on the semantic data representations and pr
opagating computation results back to the system layer automatically.
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