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1 Instance Store Database Support for Reasoning over Individuals S Bechhofer, I Horrocks, D Turi. Instance Store - Database Support for Reasoning over.

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Presentation on theme: "1 Instance Store Database Support for Reasoning over Individuals S Bechhofer, I Horrocks, D Turi. Instance Store - Database Support for Reasoning over."— Presentation transcript:

1 1 Instance Store Database Support for Reasoning over Individuals S Bechhofer, I Horrocks, D Turi. Instance Store - Database Support for Reasoning over Individuals. http://instancestore.man.ac.uk/instancestore.pdf Dumitru Roman

2 2 Outline Introduction Instance Store Implementation Comparisons & Evaluation

3 3 Introduction Description Logic (DL): T-Box & A-Box. More expressive DL languages - distinction between the T- and A-Box collapses. A full DL A-box allows us to make assertions about individuals of the form I € D and P(i, j) for individuals i and j, arbitrary concept descriptions D and properties (binary relationships) P. We can then query the A-box with queries such as: –Retrieval Which individuals occurring in the assertions are instances of some concept description Q? –Realization Given an individual i, what are the most specific concepts C in the T-box that i is an instance of? Answering such queries requires full A-box reasoning, a task that is known to be difficult in the presence of expressive languages for the T-box –an alternative approach – the instance store – providing a limited, yet effective form of A-box reasoning. The paper discusses implementation strategies for an instance store using a combination of relational database and DL reasoner.

4 4 Instance Store well known technique for implementing an instance store - simply treat individuals as primitive concept definitions and add new primitive concepts “pseudo-individuals” for each individual. –Retrieval then simply involves classifying the query and returning all individuals such that their associated “pseudo-individuals” lie below the query in the concept hierarchy. –Problem - with realistic knowledge bases likely to run into millions of instances,such an approach is unlikely to scale. –Solution - The instances and their relationship with concepts are stored in the database, while the reasoner deals purely with T-Box functionality. Retrieving individuals is then a combination of query against that database and subsumption and classification requests to the reasoner.

5 5 Instance Store - Architecture

6 6 Instance Store – retrieval algorithm

7 7 Instance Store - Implementation Basic Strategy –stores minimal information in the database, and –relies on the reasoner to provide subsumption testing and hierarchy information. Classified Descriptions –Cache the classification of each asserted and retrieved description.

8 8 Comparisons & Evaluation


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