Information integration (II) is the merging of information from heterogeneous sources with differing conceptual, contextual and typographical representations. It is used in
data mining
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and ...
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
Interactive media refers to digital experiences that dynamically respond to user input, delivering content such as text, images, animations, video, audio, and even AI-driven interactions. Over the years, interactive media has expanded across g ...
content.
Information fusion, which is a related term, involves the combination of information into a new set of information towards reducing redundancy and uncertainty.
Examples of
technologies
Technology is the application of Conceptual model, conceptual knowledge to achieve practical goals, especially in a reproducible way. The word ''technology'' can also mean the products resulting from such efforts, including both tangible too ...
available to integrate information include
deduplication, and
string metrics
In mathematics and computer science, a string metric (also known as a string similarity metric or string distance function) is a metric that measures distance ("inverse similarity") between two text strings for approximate string matching or com ...
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. Other methods rely on causal estimates of the outcomes based on a model of the sources.
[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.
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See also
* Data fusion (is a subset of Information integration)
* Sensor fusion
Sensor fusion is a process of combining sensor data or data derived from disparate sources so that the resulting information has less uncertainty than would be possible if these sources were used individually. For instance, one could potentially o ...
* Data integration
Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view.
There are a wide range of possible applications for data integration, from commercial (such as when a ...
* Image fusion
The image fusion process is defined as gathering all the important information from multiple images, and their inclusion into fewer images, usually a single one. This single image is more informative and accurate than any single source image, and i ...
* Synesthesia
Synesthesia (American English) or synaesthesia (British English) is a perceptual phenomenon in which stimulation of one sensory or cognitive pathway leads to involuntary experiences in a second sensory or cognitive pathway. People with sy ...
Books
*
*
* Springer, Information Fusion in Data Mining (2003),
* H. B. Mitchell, Multi-sensor Data Fusion – An Introduction (2007) Springer-Verlag, Berlin,
* S. Das, High-Level Data Fusion (2008), Artech House Publishers, Norwood, MA, and 1596932813
* E. P. Blasch, E. Bosse, and D. A. Lambert, High-Level Information Fusion Management and System Design (2012), Artech House Publishers, Norwood, MA. ,
*
References
External links
Discriminant Correlation Analysis (DCA)
Information Integration Using Logical View
LNCS 1997.
International Society of Information Fusion
{{DEFAULTSORT:Information Integration
Data management
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