LiU Electronic Press
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Author:
Heintz, Fredrik (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology)
Kvarnström, Jonas (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology) (APD)
Doherty, Patrick (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology)
Title:
Knowledge Processing Middleware
Department:
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Conference paper (Refereed)
Language:
English
In:
Proceedings of the 1st International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR)
Editor:
S. Carpin, I. Noda, E. Pagello, M. Reggiani and O. von Stryk
Conference:
First International Conference, SIMPAR 2008, November 3-7, Venice, Italy
Place of publ.: Berlin Heidelberg Publisher: Springer
Series:
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online); 5325
Pages:
147-158
Year of publ.:
2008
URI:
urn:nbn:se:liu:diva-28261
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-28261
ISBN:
978-3-540-89075-1 (print), 978-3-540-89076-8 (online)
Subject category:
Engineering and Technology
SVEP category:
TECHNOLOGY
Abstract(en) :

Developing autonomous agents displaying rational and goal-directed behavior in a dynamic physical environment requires the integration of a great number of separate deliberative and reactive functionalities. This integration must be built on top of a solid foundation of data, information and knowledge having numerous origins, including quantitative sensors and qualitative knowledge databases. Processing is generally required on many levels of abstraction and includes refinement and fusion of noisy sensor data and symbolic reasoning. We propose the use of knowledge processing middleware as a systematic approach for organizing such processing. Desirable properties of such middleware are presented and motivated. We then argue that a declarative stream-based system is appropriate to provide the desired functionality. Different types of knowledge processes and components of the middleware are described and motivated in the context of a UAV traffic monitoring application. Finally DyKnow, a concrete example of stream-based knowledge processing middleware, is briefly described.

Available from:
2011-02-16
Created:
2009-10-09
Last updated:
2014-05-15
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