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RDF stream processing with CQELS framework for real-time analysis

Published: 24 June 2015 Publication History

Abstract

This paper presents a solution to the Grand Challenge using CQELS (Continuous Query Evaluation over Linked Stream), a general execution framework to build RDF Stream Processing engines to answer continuous analytical queries. It provides an efficient execution architecture whereby incremental computing algorithms can be implemented to boost the performance.
Our experimental results show strong effects of the implemented approach as CQELS outperforms a base-line implementation which recomputes on every incoming input.

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cover image ACM Conferences
DEBS '15: Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems
June 2015
385 pages
ISBN:9781450332866
DOI:10.1145/2675743
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 June 2015

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Author Tags

  1. RDF stream processing
  2. real-time analysis

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Cited By

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  • (2024)On the Use of Virtual Knowledge Graphs to Improve Environmental Sensor Data AccessibilityIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing10.1109/JSTARS.2024.337038917(6671-6682)Online publication date: 2024
  • (2023)Declarative RDF graph generation from heterogeneous (semi-)structured dataWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2022.10075375:COnline publication date: 1-Jan-2023
  • (2022)RMLStreamer-SISO: An RDF Stream Generator from Streaming Heterogeneous DataThe Semantic Web – ISWC 202210.1007/978-3-031-19433-7_40(697-713)Online publication date: 16-Oct-2022
  • (2021)Survey on IoT Data Analytics with Semantic ApproachesThe 23rd International Conference on Information Integration and Web Intelligence10.1145/3487664.3487785(199-204)Online publication date: 29-Nov-2021
  • (2021)Research and Application of Complex Event Processing Method Based on RDF Stream2021 33rd Chinese Control and Decision Conference (CCDC)10.1109/CCDC52312.2021.9602210(6303-6308)Online publication date: 22-May-2021
  • (2018)Towards a Semantically Enriched Local Dynamic MapInternational Journal of Intelligent Transportation Systems Research10.1007/s13177-018-0154-xOnline publication date: 26-Mar-2018
  • (2017)Functional semantic complex event processing model for Massive Open Online Courses2017 16th International Conference on Information Technology Based Higher Education and Training (ITHET)10.1109/ITHET.2017.8067804(1-4)Online publication date: Jul-2017

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