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Enhancing graph matching techniques with ontologies

TLDR
In this article, the authors present 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).
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.

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Citations
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References
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Proceedings ArticleDOI

Ontology-based approach for information fusion

TL;DR: A methodological approach and a flexible environment for ontology management that enables the building of extensible ontologies, and the mappingfiom ontologies to information sources is proposed.
Proceedings Article

Depth-First Branch-and-Bound versus Local Search: A Case Study

TL;DR: This paper compares DFBnB against the Kanellakis-Papadimitriou local search algorithm, the best known approximation algorithm, on the asymmetric Traveling Salesman Problem (ATSP), an important NP-hard problem.
Proceedings ArticleDOI

An Ontological Analysis of Threat and Vulnerability

TL;DR: This paper discusses the formal ontological structure of threats as integrated wholes possessing three interrelated parts: intentions, capabilities and opportunities, and shows how these elements stand to one another, as well as to states of vulnerability.
Proceedings ArticleDOI

Ontology meta-model for building a situational picture of catastrophic events

TL;DR: An attempt to confront this challenge by utilizing formal philosophical categories and theories to design a formal ontology of catastrophic events that describe the most basic and relevant structures of objective reality.
ReportDOI

Use Cases for Ontologies in Information Fusion

TL;DR: This paper develops use cases in which ontologies are used both for the fusion process itself and for the development of fusion systems, covering scenarios in which the agent roles are played by people, software or both.