Scalable Semantic Retrieval through Summarization and Refinement

Query processing of OWL-DL ontologies is intractable in the worst case, but we present a novel technique that in practice allows for efficient querying of ontologies with large Aboxes in secondary storage. We focus on the processing of instance retrieval queries, i. e. , queries that retrieve individuals in the Abox which are instances of a given concept C. Our technique uses summarization and refinement to reduce instance retrieval to a small relevant subset of the original Abox. We demonstrate the effectiveness of this technique in Aboxes with up to 7 million assertions. Our results are applicable to the very expressive description logic SHIN, which corresponds to OWL-DL minus nominals and datatypes. keywords: Reasoning, Description Logic, Ontology.

Authors

• Julian Dolby
• Aditya Kalyanpur
• Edith Schonberg Kavitha Srinivas

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