DAML+OIL: An Ontology Language for the Semantic Web
IEEE Intelligent Systems
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
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Description Logic (DL)-based concept modelling formalisms provide a powerful means to ontology reasoning. However, the inevitable "trade-off" between the expressive power and the computational complexity prevents DLs from widely being applied to model problem domains featured by heterogeneous knowledge.This paper envisages a dynamic approach locating, composing and fusing DL-based inferential engines with constraint reasoning systems without modifying underlying inference algorithms form both sides.The fusion process is facilitated by a scheme driven by the Formal Concept Analysis (FCA) that based on a request, composes engines dumped in a virtual Engine Pool. A simple ontology containing both abstract and concrete knowledge is used to demonstrate the working theory of the FCA-driven reasoning engine composition and the applicability of the inference fusion framework.