@inproceedings{6c5b04b955b94abd829963283d3dffb1,
title = "Enhancing Graph Matching Techniques with Ontologies",
abstract = "Ontologies are being used increasingly in fusion applications, particularly for higher-level fusion, where data must often be understood relationally. This research presents a methodology for utilizing ontologies to enhance the process of graph matching in fusion applications, particularly those associated with soft data (e.g., linguistic data existing in things such as intelligence messages). This paper presents some of the considerations and challenges associated with merging the technologies of ontologies and graph matching, as well as some preliminary research findings that show the effectiveness of using ontologies to enhance the matching capabilities of target graphs (as relational items of interest) against larger data graphs.",
keywords = "data graphs, graph matching, information fusion, ontologies, OWL, RDF",
author = "Eric Little and Kedar Sambhoos and James Llinas",
note = "Publisher Copyright: {\textcopyright} 2005 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.; 11th International Conference on Information Fusion, FUSION 2008 ; Conference date: 30-06-2008 Through 03-07-2008",
year = "2008",
language = "English",
isbn = "9783000248832",
series = "Proceedings of the 11th International Conference on Information Fusion, FUSION 2008",
publisher = "IEEE Computer Society",
booktitle = "Proceedings of the 11th International Conference on Information Fusion, FUSION 2008",
address = "United States",
}