Release of Graph Signing Framework

Dear Semantic Web Community

Signing graph data on the web is important for many different 
application scenarios. It allows for identifying the source of a graph 
published on the web and tracking the provenance of graph data. Thus, 
signing graph data is an important prerequisite for establishing trust 
networks on the Semantic Web.

We are happy to announce the release of the Java-based open source 
implementation of our software framework for iterative signing of 
arbitrary graph data provided, e. g., as RDF(S), Named Graphs, or OWL. 
The software framework is based on a formalization of different graph 
signing functions and supports different configurations. It is available 
in source code as well as pre-compiled as .jar-file.

The graph signing framework exhibits the following unique features:
- Signing graphs on different levels of granularity
- Signing multiple graphs at once
- Iterative signing of graph data for provenance tracking
- Independence of the used language for encoding the graph (i. e.,
   the signature does not break when changing the graph representation)

The documentation of the software framework and its source code is 
available from:
http://icp.it-risk.iwvi.uni-koblenz.de/wiki/Software_Framework_for_Signing_Graph_Data

There is also an accompanying publication at ESWC this year. Thanks to 
the papers being available for free, we also like to point to the 
publication:
Andreas Kasten, Ansgar Scherp and Peter Schauß. A Framework for 
Iterative Signing of Graph Data on the Web, ESWC, 2014.
URL: 
http://2014.eswc-conferences.org/sites/default/files/papers/paper_80.pdf

Please enjoy using the framework in your applications. We are happy to 
receive your comments.

Kind regards

Ansgar Scherp
Andreas Kasten
Peter Schauß
--
Prof. Dr. Ansgar Scherp
Kiel University and Leibniz Information Center for Economics
Phone: +49 431 8814-443       Fax  : +49 431 8814-520
Mail : mail@ansgarscherp.net
WWW: http://kd.informatik.uni-kiel.de/

Received on Monday, 12 May 2014 15:15:27 UTC