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Tutorials at GeoS 2009

Third International Conference on Geospatial Semantics (GeoS 2009)


Pascal Hitzler*, Markus Krötzsch, and Sebastian Rudolph, Institute of Applied Informatics and Formal Description Methods (AIFB), University of Karlsruhe, Germany

‘OWL 2 Rules’

The revision 2 of the Web Ontology Language OWL is much richer than its predecessor OWL 1.0 with respect to modelling with rules. In particular, a significant portion of OWL 2 DL is already expressible using rules (called SROIQ Rules). The tractable profile OWL 2 EL can be extended by rules - within OWL 2 DL - while retaining tractability. Further rules lying outside OWL 2 DL, in particular a generalisation of DL-safe Datalog rules, can further be added while still retaining tractability, resulting in a language called ELP, which covers all three tractable profiles of OWL 2. ELP in turn can be extended by local closed-world reasoning such that data complexity still remains polynomial.

This tutorial introduces OWL 2 and the abovementioned rules fragments and extensions in detail. It is aimed for the theoretician as well as the ontology engineer who would like to learn about the intimate relationship between OWL 2 and rules.

Tutorial website: http://www.semantic-web-book.org/page/GeoS2009_Tutorial


Arne Bröring* and colleagues, Institute for Geoinformatics, University of Münster, Germany and 52°North Initiative for Geospatial Open Source Software GmbH, Münster, Germany

“Building a Web of Sensors”

The vision of the Sensor Web is to make all kinds of sensors discoverable, accessible and taskable over the internet. To achieve this vision, the Sensor Web Enablement (SWE) initiative of the Open Geospatial Consortium (OGC) is defining standards for the Sensor Web. After introducing the different building blocks of the Sensor Web, the application of these in different scenarios will be demonstrated. Furthermore, the 52°North SWE suite will be presented as an Open Source implementation of the SWE standards. Finally, the first steps and necessary future work towards a Semantic Sensor Web will be explained.

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