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Information integration

information integration theory, information integration
Information integration II also called 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 redundancy and uncertainty1

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


  • 1 See also
  • 2 Books
  • 3 References
  • 4 External links

See alsoedit

  • Data fusion is a subset of Information integration
  • Sensor fusion
  • Data integration
  • Image fusion


  • M E Liggins, D L Hall, and J Llinas Multisensor Data Fusion, 2008 Theory and Practice Multisensor Data Fusion Second ed CRC ISBN 978-1-4200-5308-1 CS1 maint: Uses authors parameter link
  • D L Hall, S A H McMullen 2004 Mathematical Techniques in Multisensor Data Fusion ISBN 1-58053-335-3 CS1 maint: Uses authors parameter link
  • 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 CS1 maint: Uses authors parameter linkCS1 maint: Explicit use of et al link


  1. ^ M Haghighat, M Abdel-Mottaleb, & W Alhalabi 2016 Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition IEEE Transactions on Information Forensics and Security, 119, 1984-1996

External linksedit

  • Discriminant Correlation Analysis DCA
  • Information Integration Using Logical View LNCS 1997
  • International Society of Information Fusion

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