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This paper presents a method for semantic indexing and describes itsapplication in the field of knowledge representation. Starting point of thesemantic indexing is the knowledge represented by concept hierarchies. The goalis to assign keys to nodes (concepts) that are hierarchically ordered andsyntactically and semantically correct. With the indexing algorithm, keys arecomputed such that concepts are partially unifiable with all more specificconcepts and only semantically correct concepts are allowed to be added. Thekeys represent terminological relationships. Correctness and completeness ofthe underlying indexing algorithm are proven. The use of classical relationaldatabases for the storage of instances is described. Because of the uniformrepresentation, inference can be done using case-based reasoning and genericproblem solving methods.

Method for the semantic indexing of concept hierarchies, uniform  representation, use of relational database systems and generic and case-based  reasoning