liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Ontology-Based Introspection in Support of Stream Reasoning
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Intergrated Computer systems. Linköping University, Faculty of Science & Engineering. (KPLAB - Knowledge Processing Lab)
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Intergrated Computer systems. Linköping University, Faculty of Science & Engineering. (KPLAB - Knowledge Processing Lab)
2015 (English)In: Proceedings of the Joint Ontology Workshops (JOWO 2015), Buenos Aires, Argentina, July 25-27, 2015: The Joint Ontology Workshops - Episode 1 / [ed] Odile Papini, Salem Benferhat, Laurent Garcia, Marie-Laure Mugnier, Eduardo Fermé, Thomas Meyer, Renata Wassermann, Torsten Hahmann, Ken Baclawski, Adila Krisnadhi, Pavel Klinov, Stefano Borgo and Oliver Kutz Daniele Porello15, Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V , 2015, Vol. 1517, p. 1-8Conference paper, Published paper (Other academic)
Abstract [en]

Building complex systems such as autonomous robots usually require the integration of a wide variety of components including high-level reasoning functionalities. One important challenge is integrating the information in a system by setting up the data flow between the components. This paper extends our earlier work on semantic matching with support for adaptive on-demand semantic information integration based on ontology-based introspection.  We take two important stand-points.  First, we consider streams of information, to handle the fact that information often becomes continually and incrementally available.  Second, we explicitly represent the semantics of the components and the information that can be provided by them in an ontology.  Based on the ontology our custom-made stream configuration planner automatically sets up the stream processing needed to generate the streams of information requested. Furthermore, subscribers are notified when properties of a stream changes, which allows them to adapt accordingly. Since the ontology represents both the system's information about the world and its internal stream processing many other powerful forms of introspection are also made possible. The proposed semantic matching functionality is part of the DyKnow stream reasoning framework and has been integrated in the Robot Operating System (ROS).

Place, publisher, year, edition, pages
Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V , 2015. Vol. 1517, p. 1-8
Series
CEUR Workshop Proceedings, ISSN 1613-0073
Keywords [en]
ontology, introspection, semantic matching, stream reasoning, stream processing, stream, configuration, integration
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-120303OAI: oai:DiVA.org:liu-120303DiVA, id: diva2:843157
Conference
1st Joint Ontology Workshops (JOWO-2015), Buenos Aires, Argentina, July 25-27, 2015
Projects
CUGSCENIITCADICSELLIITCUAS
Note

Workshops held at the 24th International Joint Conference on Artificial Intelligence - IJCAI 2015, Buenos Aires, Argentina, July 25-27, 2015

Available from: 2015-07-27 Created: 2015-07-27 Last updated: 2018-01-11Bibliographically approved

Open Access in DiVA

fulltext(1811 kB)442 downloads
File information
File name FULLTEXT01.pdfFile size 1811 kBChecksum SHA-512
8f68843772261ba820e9afbe591832efe62f209ac8a4150439b620946af08fa0bbba79edb94b75283201d38acfd7a88fa769accc4e755291bfcaee6ee10d0a87
Type fulltextMimetype application/pdf

Other links

Link to publication

Authority records

de Leng, DanielHeintz, Fredrik

Search in DiVA

By author/editor
de Leng, DanielHeintz, Fredrik
By organisation
Artificial Intelligence and Intergrated Computer systemsFaculty of Science & Engineering
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 442 downloads
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

urn-nbn

Altmetric score

urn-nbn
Total: 658 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf