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Large Scale Reasoning Using Allen's Interval Algebra

Mantle, Matthew, Batsakis, Sotirios and Antoniou, Grigoris (2016) Large Scale Reasoning Using Allen's Interval Algebra. In: Mexican International Conference on Artificial Intelligence, 23-29 October 2016, Mexico. (Unpublished)

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Abstract

This paper proposes and evaluates a distributed, parallel approach for reasoning over large scale datasets using Allen's Interval Algebra (IA). We have developed and implemented algorithms that reason over IA networks using the Spark distributed processing framework. Experiments have been conducted by deploying the algorithms on computer clusters using synthetic datasets with various characteristics. We show that reasoning over datasets consisting of millions of interval relations is feasible and that our implementation scales effectively. The size of the IA networks we are able to reason over is far greater than those found in previously published works.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Schools: School of Computing and Engineering
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Depositing User: Matthew Mantle
Date Deposited: 03 Nov 2016 10:54
Last Modified: 30 Nov 2016 14:59
URI: http://eprints.hud.ac.uk/id/eprint/29804

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