graphOnt: an ontology based library for conversion from semantic graphs to JUNG

Authors:
Stephen Kelley;Mark Goldberg;Malik Magdon-Ismail;Konstantin Mertsalov;William Wallace;Mohammed Zaki
Affiliations:
Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY;Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY;Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY;Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY;Department of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, Troy, NY;Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY
Venue:
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Year:
2009

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Abstract

In this work, we present the software library graphOnt. The purpose of this library is to automate the process of dynamically extracting "interesting" graphs from semantic networks. Instructions on the extraction are fed into the library via an ontological language specification custom built for this application. A set of SPARQL queries are used to define vertices and edges in the constructed graph. Extracted graphs are returned using the JUNG framework, which offers many algorithmic and visualization options. This work allows a set of individuals analyzing the same semantic network to extract and analyze dynamically created graphs using sophisticated, specific algorithmic tools without needing to manually construct classical graphs from the data.