Information integration (II) 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 redundancy and uncertainty.[1]
Examples of technologies available to integrate information include deduplication, and 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. Other methods rely on causal estimates of the outcomes based on a model of the sources.[2]
M. E. Liggins; D. L. Hall; J. Llinas (2008). Theory and Practice (Multisensor Data Fusion) (Second ed.). CRC. ISBN978-1-4200-5308-1.
D. L. Hall; S. A. H. McMullen (2004). Mathematical Techniques in Multisensor Data Fusion. ISBN978-1-58053-335-5.
Springer, Information Fusion in Data Mining (2003), ISBN3-540-00676-1
H. B. Mitchell, Multi-sensor Data Fusion – An Introduction (2007) Springer-Verlag, Berlin, ISBN978-3-540-71463-7
S. Das, High-Level Data Fusion (2008), Artech House Publishers, Norwood, MA, ISBN978-1-59693-281-4 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. ISBN1608071510 | ISBN978-1608071517
L. Snidaro; J. Garcia-Herrero; J. Llinas; et al. (2016). Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge. Springer-Verlag. ISBN978-3319289694.
Referencesedit
^Haghighat, Mohammad; Abdel-Mottaleb, Mohamed; Alhalabi, Wadee (2016). "Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition". IEEE Transactions on Information Forensics and Security. 11 (9): 1984–1996. doi:10.1109/TIFS.2016.2569061. 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.
External linksedit
Discriminant Correlation Analysis (DCA)
LNCS 1997.
International Society of Information Fusion
February 16, 2024
information, integration, this, article, needs, additional, citations, verification, please, help, improve, this, article, adding, citations, reliable, sources, unsourced, material, challenged, removed, find, sources, news, newspapers, books, scholar, jstor, s. This article needs additional citations for verification Please help improve this article by adding citations to reliable sources Unsourced material may be challenged and removed Find sources Information integration news newspapers books scholar JSTOR September 2014 Learn how and when to remove this template message Information integration II 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 redundancy and uncertainty 1 Examples of technologies available to integrate information include deduplication and 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 Other methods rely on causal estimates of the outcomes based on a model of the sources 2 Contents 1 See also 2 Books 3 References 4 External linksSee also editData fusion is a subset of Information integration Sensor fusion Data integration Image fusion SynesthesiaBooks editM 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 4 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 ISBN 1608071510 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 edit Haghighat Mohammad Abdel Mottaleb Mohamed Alhalabi Wadee 2016 Discriminant Correlation Analysis Real Time Feature Level Fusion for Multimodal Biometric Recognition IEEE Transactions on Information Forensics and Security 11 9 1984 1996 doi 10 1109 TIFS 2016 2569061 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 External links editDiscriminant Correlation Analysis DCA Information Integration Using Logical View LNCS 1997 International Society of Information Fusion Retrieved from https en wikipedia org w index php title Information integration amp oldid 1168981014, wikipedia, wiki, book, books, library,
