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LarKC Platform v1.1 released

We are glad to announce that the LarKC Platform Release v1.1 is now available in our repository on http://larkc.sourceforge.net. The redistributable package can be downloaded from our collaborative development environment, LarKC@SourceForge at: http://sourceforge.net/projects/larkc/files/Release-1.1/larkc-release-1.1.zip/download (OS independent) The source code belonging to the release can be checked out from SVN at: https://larkc.svn.sourceforge.net/svnroot/larkc/tags/Release-1.1 The complete (updated) manual for […]

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Colliding Computer & Social Sciences at the VU

Source: Think Links One of the things that I think is great about the VU (Vrije Universiteit Amsterdam) where I work is the promotion of interdisciplinary work through organizations like the Network Institute.  Computer Science is often known for interacting with biology, physics, and economics but we are now seeing the application of computing to […]

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Award winning project

Prof. Dr. Fensel received an award for the excellent project coordination of LarKC at the event “Austrian Champions in European Research” from the Austrian Research Promotion Agency (FFG).

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Twitter plans to support annotations. Could be an interesting new stream of structured data

(By Jose Quesada)Twitter plans to support annotations. Since Facebook started supporting RDFa with their openSocial graph, it was just a matter of time that twitter followed. What are annotations? From Gigaom: In a nutshell, Annotations would allow developers (and Twitter itself, of course) to add additional information to a tweet — such as a string of text, a […]

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Stream Reasoning, Where We Got So Far

The idea of Stream Reasoning originated in Politecnico di Milano in 2007, when I and Stefano Ceri were helping writing the LarKC project proposal. In the last three years, lot of investigation has been done. Davide Barbieri, Daniele Braga, Stefano Ceri, Michael Grossniklaus, I defined the notion of RDF Stream together with an extension of […]

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About the KR&R Group

The KR&R group investigates modelling and representation of different forms of knowledge and reasoning, as found in a large variety of AI systems. We have an interest in both applications and theory. We study theoretical properties of knowledge representation and reasoning formalisms, but are also involved in developing practical knowledge-based systems. We have been very active in developments around […]

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