Information integration
(Redirected from
Information fusion
) | This article needs additional citations for verification. (September 2014) |
Information integration (II) is the merging of information from heterogeneous sources with differing conceptual, contextual and typographical representations. It is used in
rich-media content. Information fusion, which is a related term, involves the combination of information into a new set of information towards reducing redundancy and uncertainty.[1]
Examples of
fuzzy matching. A host of methods for these research areas are available such as those presented in the International Society of Information Fusion. Other methods rely on causal estimates of the outcomes based on a model of the sources.[2]
See also
- Data fusion (is a subset of Information integration)
- Sensor fusion
- Data integration
- Image fusion
- Synesthesia
Books
- M. E. Liggins; D. L. Hall; J. Llinas (2008). Theory and Practice (Multisensor Data Fusion) (Second ed.). CRC. ISBN 978-1-4200-5308-1.
- D. L. Hall; S. A. H. McMullen (2004). Mathematical Techniques in Multisensor Data Fusion. ISBN 978-1-58053-335-5.
- Springer, Information Fusion in Data Mining (2003), ISBN 3-540-00676-1
- H. B. Mitchell, Multi-sensor Data Fusion – An Introduction (2007) Springer-Verlag, Berlin, ISBN 978-3-540-71463-7
- S. Das, High-Level Data Fusion (2008), Artech House Publishers, Norwood, MA, ISBN 978-1-59693-281-4and 1596932813
- E. P. Blasch, E. Bosse, and D. A. Lambert, High-Level Information Fusion Management and System Design (2012), Artech House Publishers, Norwood, MA. ISBN 978-1608071517
- L. Snidaro; J. Garcia-Herrero; J. Llinas; et al. (2016). Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge. Springer-Verlag. ISBN 978-3319289694.
References
- S2CID 15624506.
- ^ P.K. Davis, D. Manheim, W.L. Perry, J. Hollywood (2015). In Proceedings of the 2015 Winter Simulation Conference (WSC '15). IEEE Press, Piscataway, NJ, USA, 2586-2597.