Knowledge Engineering Environment
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On KEE, several extensions were offered:
- Simkit, a frame-based simulation library[2][3]
- KEEconnection, database connection between the frame system and relational databases[4]
In KEE, frames are called units. Units are used for both individual instances and classes. Frames have slots and slots have facets. Facets can describe, for example, a slot's expected values, its working value, or its inheritance rule. Slots can have multiple values. Behavior can be implemented using a message passing model.
KEE provides an extensive graphical user interface (GUI) to create, browse, and manipulate frames.
KEE also includes a frame-based rule system. In the KEE knowledge base, rules are frames. Both forward chaining and backward chaining inference are available.
KEE supports non-monotonic reasoning through the concepts of worlds. Worlds allow providing alternative slot-values of frames. Through an assumption-based truth or reason maintenance system, inconsistencies can be detected and analyzed.[5]
ActiveImages allows graphical displays to be attached to slots of Units. Typical examples are buttons, dials, graphs, and histograms. The graphics are also implemented as Units via KEEPictures, a frame-based graphics library.
See also
- Expert system
- Frame language
- Inference engine
- IntelliCorp (software)
- Knowledge base
- Knowledge-based system
- Knowledge representation
References
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