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((refimprove|date=September 2017))
Until the 1980s, [[database]]s were viewed as computer systems that stored record-oriented and business data such as manufacturing inventories, bank records, and sales transactions. A database system was not expected to merge numeric data with text, images, or [[multimedia]] information, nor was it expected to automatically notice patterns in the data it stored. In the late 1980s the concept of an '''intelligent database''' was put forward as a system that manages information (rather than data) in a way that appears natural to users and which goes beyond simple record keeping.

The term was introduced in 1989 by the book ''Intelligent Databases'' by [[Kamran Parsaye]], [[Mark Chignell]], Setrag Khoshafian and [[Harry Wong]]. The concept postulated three levels of intelligence for such systems: high level tools, the [[user interface]] and the [[database engine]]. The high level tools manage data quality and automatically discover relevant patterns in the data with a process called [[data mining]]. This layer often relies on the use of [[artificial intelligence]] techniques. The user interface uses [[hypermedia]] in a form that uniformly manages text, images and numeric data. The intelligent database engine supports the other two layers, often merging [[relational database]] techniques with [[object-oriented programming|object orientation]].

In the twenty-first century, intelligent databases have now become widespread, e.g. hospital databases can now call up patient histories consisting of charts, text and x-ray images just with a few mouse clicks, and many corporate databases include [[decision support]] tools based on sales pattern analysis.

==External links==
* [https://www.amazon.com/dp/0471503452 ''Intelligent Databases''], book 

((Database))

[[Category:Databases]]
[[Category:Artificial intelligence]]

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