liu.seSearch for publications in DiVA
ReferencesLink to record
Permanent link

Direct link
Stream Reasoning in DyKnow: A Knowledge Processing Middleware System
2009 (English)In: Proceedings of the Stream Reasoning Workshop, M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen, 2009Konferensbidrag (Refereed)
Abstract [en]

The information available to modern autonomous systems is often in the form of streams. As the number of sensors and other stream sources increases there is a growing need for incremental reasoning about the incomplete content of sets of streams in order to draw relevant conclusions and react to new situations as quickly as possible. To act rationally, autonomous agents often depend on high level reasoning components that require crisp, symbolic knowledge about the environment. Extensive processing at many levels of abstraction is required to generate such knowledge from noisy, incomplete and quantitative sensor data.  We define knowledge processing middleware as a systematic approach to integrating and organizing such processing, and argue that connecting processing components with streams provides essential support for steady and timely flows of information. DyKnow is a concrete and implemented instantiation of such middleware, providing support for stream reasoning at several levels. First, the formal KPL language allows the specification of streams connecting knowledge processes and the required properties of such streams. Second, chronicle recognition incrementally detects complex events from streams of more primitive events.  Third, complex metric temporal formulas can be incrementally evaluated over streams of states. DyKnow and the stream reasoning techniques are described and motivated in the context of a UAV traffic monitoring application.

Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 466
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-28258 (URN)oai:DiVA.org:liu-28258 (OAI)
Available from2009-10-09 Created:2009-10-09 Last updated:2013-08-29

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Heintz, FredrikKvarnström, JonasDoherty, Patrick
By organisation
KPLAB - Knowledge Processing LabThe Institute of Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Citations

Web of Science®:
Total: 32 hits
ReferencesLink to record
Permanent link

Direct link