Scalable OWL Ontology Reasoning Using Cloud Computing

Provided by: AICIT
Topic: Cloud
Format: PDF
With the explosion of semantic web technologies, scalable reasoning becomes a critical issue because the conventional description logic-based reasoners, which are designed for use on a single-machine context, do not scale well for large amounts of ontologies. To overcome the drawback, this paper proposes a novel cloud computing technologies-based distributed tableau reasoning approach to check the consistency of large Web Ontology Language (OWL) ontologies. By exploiting the MapReduce paradigm, OWL individual assertions are first partitioned into multiple independent units with the form of key-value pair, and then the consistency of each unit with respect to the OWL terminologies is detected in parallel.

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