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COROR: A COmposable Rule-entailment Owl ... - Defeasible Logic

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Conclusion and future work<br />

• Conclusion<br />

• Motivation<br />

• To enable intelligence on the edge of sensor network.<br />

• State of the art mobile OWL reasoners<br />

• <strong>COROR</strong> the composable reaoner<br />

• Two composition algorithms: the selective rule loading algorithm and the two-phase<br />

RETE algorithm.<br />

• Experiments design and results<br />

• Two experiments<br />

• Results<br />

• <strong>COROR</strong> uses much less memory without sacrificing time performance.<br />

• Future work includes<br />

• More heuristics can be applied during the RETE network construction phase, and more<br />

information can be collected.<br />

• Support conjunctive query languages e.g. SPARQL.<br />

• OWL 2 support.<br />

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