Proactive plan-based continuous query processing over diverse SPARQL endpoints

Sejin Chun, Seungmin Seo, Won Woo Ro, Kyong Ho Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Although the emergence of SPARQL endpoints that allow end-users and applications to query the RDF data they want, continuous processing of building a very large query over diverse SPARQL endpoints requires a sophisticated method. However, current RDF Stream Processing (RSP) applications are limited in terms of scalability and administrative autonomy, due to their tight-coupled data sources (e.g., RDF streams) and being unable to coordinate with existing SPARQL engines. In this paper, we propose a novel continous query processing that is equipped with a proactive adaptation for enhancing a plan-based policy, pulling RDF data periodically from remote sources. Our proactive adaptation forecasts the future update pattern of a source, and decides the best action that guarantees the improved data freshness and efficient system workload. We verify the proposed approach in terms of data adaptability, detection latency, and transmission cost in distributed settings.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages161-164
Number of pages4
Volume1
ISBN (Electronic)9781467396172
DOIs
Publication statusPublished - 2016 Feb 2
Event2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT Workshops 2015 - Singapore, Singapore
Duration: 2015 Dec 62015 Dec 9

Other

Other2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT Workshops 2015
CountrySingapore
CitySingapore
Period15/12/615/12/9

Fingerprint

Query processing
Processing
Scalability
Engines
Costs

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

Cite this

Chun, S., Seo, S., Ro, W. W., & Lee, K. H. (2016). Proactive plan-based continuous query processing over diverse SPARQL endpoints. In Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015 (Vol. 1, pp. 161-164). [7396797] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WI-IAT.2015.168
Chun, Sejin ; Seo, Seungmin ; Ro, Won Woo ; Lee, Kyong Ho. / Proactive plan-based continuous query processing over diverse SPARQL endpoints. Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2016. pp. 161-164
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Chun, S, Seo, S, Ro, WW & Lee, KH 2016, Proactive plan-based continuous query processing over diverse SPARQL endpoints. in Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015. vol. 1, 7396797, Institute of Electrical and Electronics Engineers Inc., pp. 161-164, 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT Workshops 2015, Singapore, Singapore, 15/12/6. https://doi.org/10.1109/WI-IAT.2015.168

Proactive plan-based continuous query processing over diverse SPARQL endpoints. / Chun, Sejin; Seo, Seungmin; Ro, Won Woo; Lee, Kyong Ho.

Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2016. p. 161-164 7396797.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Chun S, Seo S, Ro WW, Lee KH. Proactive plan-based continuous query processing over diverse SPARQL endpoints. In Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015. Vol. 1. Institute of Electrical and Electronics Engineers Inc. 2016. p. 161-164. 7396797 https://doi.org/10.1109/WI-IAT.2015.168