Information integration
Information integration (II) (also called information fusion, deduplication and referential integrity) is the merging of information from disparate sources with differing conceptual, contextual and typographical representations. It is used in data mining and consolidation of data from unstructured or semi-structured resources. Typically, information integration refers to textual representations of knowledge but is sometimes applied to rich-media content.
The technologies available to integrate information include string metrics which allow the detection of similar text in different data sources by fuzzy matching.
See also
General references
- Dave L. Hall and James Llinas, “Introduction to Multisensor Data Fusion”, Proc. of IEEE , Vol. 85, No. 1, pp. 6 – 23, Jan 1997.
- Erik Blasch, Ivan Kadar, John Salerno, Mieczyslaw Kokar, Subrata Das, Gerald Powell, Daniel Corkill, and E. Euspini (2006), Issues and Challenges in Situation Assessment (Level 2 Fusion), Journal of Advances in Information Fusion, Vol 1, No 2, Dec. 2006.
Books
- Liggins, Martin E., David L. Hall, and James Llinas. Multisensor Data Fusion, Second Edition Theory and Practice (Multisensor Data Fusion). CRC, 2008. ISBN 978-1-4200-5308-1
- David L. Hall, Sonya A. H. McMullen, Mathematical Techniques in Multisensor Data Fusion (2004), ISBN 1580533353
- Springer, Information Fusion in Data Mining (2003), ISBN 3540006761
- H. B. Mitchell, Multi-sensor Data Fusion – An Introduction (2007) Springer-Verlag, Berlin, ISBN 9783540714637
- S. Das, High-Level Data Fusion (2008), Artech House Publishers, Norwood, MA, ISBN 9781596932814 and 1596932813
External links