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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.〔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.〕〔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.〕 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 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Information integration」の詳細全文を読む スポンサード リンク
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