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Enabling RETE algorithm for RDFS reasoning on apache spark
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Publication Year
2018-12-06
Journal
Proceedings - 8th IEEE International Symposium on Cloud and Services Computing, SC2 2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
Proceedings - 8th IEEE International Symposium on Cloud and Services Computing, SC2 2018, pp.135-138
Keyword
Apache SparkRDFS ReasoningRETESemantic Web
Mesh Keyword
De duplicationsEmpirical experimentsPersonal assistantsProcessing performanceRDFS ReasoningRETESemantic Web technologySequence optimization
All Science Classification Codes (ASJC)
Computer Networks and CommunicationsComputer Science ApplicationsHardware and ArchitectureInformation SystemsInformation Systems and Management
Abstract
Semantic web technology has been used to help various software, including Intelligence Personal Assistant, by acquiring new data or understanding the knowledge through relations between data. However, it is hard to apply the current semantic web schemes such as RDFS reasoning to the real world data because of huge volume of data need to be processed. In this study, we design and enable RDFS reasoning with RETE algorithm on Apache Spark in parallel fashion. In addition, we apply rule sequence optimization ordering from existing studies to enhance the processing performance. From the empirical experiment results, we verified that the implementation of our design shows a strong scalability. However, the current naïve approach of using Spark provided distinct function to deduplicate data should be improved to yield a better processing performance. In future studies, we will study further to find new deduplication method.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36315
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85060191727&origin=inward
DOI
https://doi.org/10.1109/sc2.2018.00028
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8566030
Type
Conference
Funding
ACKNOWLEDGMENT This research was supported by the MIST(Ministry of Science and ICT), Korea, under the National Program for Excellence in SW supervised by the IITP(Institute for Information & communications Technology Promotion)\ (2015-0-00908).
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Oh, Sangyoon오상윤
Department of Software and Computer Engineering
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