Service-Oriented Architecture for Object- Centric Information Fusion
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.
[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
[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
@article{"International Journal of Information, Control and Computer Sciences:61841", author = "Jeffrey A. Dunne and Kevin Ligozio", title = "Service-Oriented Architecture for Object- Centric Information Fusion", 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", volume = "2", number = "5", pages = "1700-10", }