Abstract
Academia and industry are investigating novel approaches for processing vast amounts of data coming from enterprises, the Web, social media and sensor readings in an area that has come to be known as Big Data. Logic programming has traditionally focused on complex knowledge structures/programs. The question arises whether and how it can be applied in the context of Big Data. In this paper, we study how the well-founded semantics can be computed over huge amounts of data using mass parallelization. Specifically, we propose and evaluate a parallel approach based on the X10 programming language. Our experiments demonstrate that our approach has the ability to process up to 1 billion facts within minutes.
Original language | English |
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Title of host publication | Proceedings - 2014 IEEE 26th International Conference on Tools with Artificial Intelligence, ICTAI 2014 |
Publisher | IEEE Computer Society |
Pages | 162-169 |
Number of pages | 8 |
Volume | 2014-December |
ISBN (Electronic) | 9781479965724 |
DOIs | |
Publication status | Published - 12 Dec 2014 |
Event | 26th IEEE International Conference on Tools with Artificial Intelligence - Limassol, Cyprus Duration: 10 Nov 2014 → 12 Nov 2014 Conference number: 26 |
Conference
Conference | 26th IEEE International Conference on Tools with Artificial Intelligence |
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Abbreviated title | ICTAI 2014 |
Country/Territory | Cyprus |
City | Limassol |
Period | 10/11/14 → 12/11/14 |