Proactive plan-based continuous query processing over diverse SPARQL endpoints

Sejin Chun; Seungmin Seo; Wonwoo Ro; Kyong Ho Lee

doi:10.1109/WI-IAT.2015.168

Proactive plan-based continuous query processing over diverse SPARQL endpoints

Sejin Chun, Seungmin Seo, Wonwoo Ro, Kyong Ho Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	161-164
Number of pages	4
ISBN (Electronic)	9781467396172
DOIs	https://doi.org/10.1109/WI-IAT.2015.168
Publication status	Published - 2016 Feb 2
Event	2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT Workshops 2015 - Singapore, Singapore Duration: 2015 Dec 6 → 2015 Dec 9

Publication series

Name	Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015
Volume	1

Other

Other	2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT Workshops 2015
Country/Territory	Singapore
City	Singapore
Period	15/12/6 → 15/12/9

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Software

Access to Document

10.1109/WI-IAT.2015.168

Cite this

Chun, S., Seo, S., Ro, 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 (pp. 161-164). Article 7396797 (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.. https://doi.org/10.1109/WI-IAT.2015.168

Chun, Sejin ; Seo, Seungmin ; Ro, Wonwoo et al. / 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. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 161-164 (Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015).

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title = "Proactive plan-based continuous query processing over diverse SPARQL endpoints",

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.",

author = "Sejin Chun and Seungmin Seo and Wonwoo Ro and Lee, {Kyong Ho}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT Workshops 2015 ; Conference date: 06-12-2015 Through 09-12-2015",

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Chun, S, Seo, S, Ro, W & 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., 7396797, 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., 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, Wonwoo et al.
Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 161-164 7396797 (Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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ER -

Chun S, Seo S, Ro W , 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. Institute of Electrical and Electronics Engineers Inc. 2016. p. 161-164. 7396797. (Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015). doi: 10.1109/WI-IAT.2015.168

Proactive plan-based continuous query processing over diverse SPARQL endpoints

Abstract

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