Information integration

Information integration (II) (also called deduplication and referential integrity) is the merging of information from heterogeneous 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. Information fusion, which is a related term, involves the combination of information into a new set of information towards reducing uncertainty.^[1][2]

An example of technologies available to integrate information include string metrics which allow the detection of similar text in different data sources by fuzzy matching. A host of methods for these research areas are available such as those presented in the International Society of Information Fusion.

See also

• Data fusion (is a subset of Information integration)
• Sensor fusion
• Data integration
• Data deduplication
• Dataspaces
• Referential integrity

General references

1. Dave L. Hall and James Llinas, “Introduction to Multisensor Data Fusion”, Proc. of IEEE, Vol. 85, No. 1, pp. 6 – 23, Jan 1997.
2. 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.
3. Giannadakis, N.; Rowe, A.; Ghanem, M.; Guo, Y. K. (2003). "InfoGrid: Providing information integration for knowledge discovery". Information Sciences 155 (3–4): 199. doi:10.1016/S0020-0255(03)00170-1.

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 1-58053-335-3
• 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 978-1-59693-281-4 and 1596932813
• Erik P. Blasch, Eloi Bosse, and Dale A. Lambert, High-Level Information Fusion Management and System Design (2012), Artech House Publishers, Norwood, MA. ISBN 1608071510 | ISBN 978-1608071517

Citations

1. Haghighat, M. B. A., Aghagolzadeh, A., & Seyedarabi, H. (2011). Multi-focus image fusion for visual sensor networks in DCT domain. Computers & Electrical Engineering, 37(5), 789-797.
2. Haghighat, M. B. A., Aghagolzadeh, A., & Seyedarabi, H. (2011). A non-reference image fusion metric based on mutual information of image features. Computers & Electrical Engineering, 37(5), 744-756.

External links

• Information Integration Using Logical View LNCS 1997.
• International Society of Information Fusion