Information integration is the process of combining information from multiple sources into a coherent and usable form. In AI systems, it may involve aligning formats, resolving conflicts, linking entities, and producing a unified representation for reasoning, search, or analysis.
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.