  Starting from an unsolved problem of information retrieval this paper
presents an ontology-based model for indexing and retrieval. The model combines
the methods and experiences of cognitive-to-interpret indexing languages with
the strengths and possibilities of formal knowledge representation. The core
component of the model uses inferences along the paths of typed relations
between the entities of a knowledge representation for enabling the
determination of hit quantities in the context of retrieval processes. The
entities are arranged in aspect-oriented facets to ensure a consistent
hierarchical structure. The possible consequences for indexing and retrieval
are discussed.
