Service-Oriented Architecture for Object- Centric Information Fusion
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32771
Service-Oriented Architecture for Object- Centric Information Fusion

Authors: Jeffrey A. Dunne, Kevin Ligozio

Abstract:

In many applications there is a broad variety of information relevant to a focal “object" of interest, and the fusion of such heterogeneous data types is desirable for classification and categorization. While these various data types can sometimes be treated as orthogonal (such as the hull number, superstructure color, and speed of an oil tanker), there are instances where the inference and the correlation between quantities can provide improved fusion capabilities (such as the height, weight, and gender of a person). A service-oriented architecture has been designed and prototyped to support the fusion of information for such “object-centric" situations. It is modular, scalable, and flexible, and designed to support new data sources, fusion algorithms, and computational resources without affecting existing services. The architecture is designed to simplify the incorporation of legacy systems, support exact and probabilistic entity disambiguation, recognize and utilize multiple types of uncertainties, and minimize network bandwidth requirements.

Keywords: Data fusion, distributed computing, service-oriented architecture, SOA

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079966

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1416

References:


[1] T. Erl, "Service-Oriented Architecture: Concepts, Technology, and Design," Prentice Hall, 2005
[2] T. Erl, "SOA: Principles of Service Design," Prentice Hall, 2007
[3] http://en.wikipedia.org/wiki/Service-oriented_architecture
[4] Y. Bar-Shalom, T. E. Fortmann, "Tracking and Data Association," Academic Press, 1988
[5] "Multitarget-Multisensor Tracking," (three volumes), Y. Bar-Shalom (Ed.), Artech House
[6] H. S. Burkom, S. P. Murphy, J. S. Coberly., and K. Hurt-Mullen, "Public Health Monitoring Tools for Multiple Data Streams," Morbidity and Mortality Weekly Report (MMWR), Vol. 54 "Supplement, Syndromic Surveillance: Reports from a National Conference, 2004," 2005
[7] Z. R. Mnatsakanyan, H. S. Burkom, J. S. Coberly, and J. S. Lombardo, "Bayesian Information Fusion Networks for Biosurveillance Applications", submitted to Journal of the American Medical Informatics Association, 2007
[8] H. S. Burkom, "Biosurveillance Applying Scan Statistics with Multiple, Disparate Data Sources," Journal of Urban Health, Proceedings of the 2002 National Syndromic Surveillance Conference, Vol. 80, No. 2, Supplement 1, 2003
[9] F.J. Damerau, "A technique for computer detection and correction of spelling errors," Communications of the ACM, 1964