Information integration is a research area that focuses on how to effectively combine and harmonize data from multiple sources in order to provide a unified view of information. This involves resolving differences in data formats, structures, and semantics, as well as dealing with inconsistencies and redundancies. Researchers in this area develop algorithms, techniques, and systems to integrate data from diverse sources such as databases, web services, and online repositories. Information integration is important for various applications, including data warehousing, business intelligence, data analytics, and knowledge discovery. Overall, the goal of information integration is to provide users with a consistent, accurate, and comprehensive view of data, regardless of its original source or format.