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Uni-Messe: Unified Rule-Based Message Delivery Service for Efficient Context-Aware Service Integration

Author

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  • Takuya Nakata

    (Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe 657-8501, Japan)

  • Sinan Chen

    (Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe 657-8501, Japan)

  • Masahide Nakamura

    (Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe 657-8501, Japan
    RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan)

Abstract

Rule-based systems, which are the typical technology used to realize context-aware services, have been independently implemented in various smart services. The challenges of these systems are the versatility of action, looseness, and the coding that is needed to describe the conditional branches. The purpose of this study was to support the realization of service coordination and smart services using context-aware technology by converting rule-based systems into services. In the proposed method, we designed and implemented the architecture of a new service: Unified Rule-Based Message Delivery Service (Uni-messe), which is an application-neutral rule management and evaluation service for rule-based systems. The core part of the Uni-messe proposal is the combination of a Pub/Sub and a rule-based system, and the proposal of a new event–condition–route (ECR) rule-based system. We applied Uni-messe to an audio information presentation system (ALPS) and indoor location sensing technology to construct concrete smart services, and then compared and evaluated the implementation to “if this then that” (IFTTT), which is a typical service coordination technology. Moreover, we analyzed the characteristics of other rule-based systems that have been serviced in previous studies and compared them to Uni-messe. This study shows that Uni-messe can provide services that simultaneously combine versatility, ease of conditional description, looseness, context independence, and user interface (UI), which cannot be achieved using conventional rule-based system services. By using Uni-messe, advanced heterogeneous distributed service coordination using rule-based systems and the construction of context-aware services can be performed easily.

Suggested Citation

  • Takuya Nakata & Sinan Chen & Masahide Nakamura, 2022. "Uni-Messe: Unified Rule-Based Message Delivery Service for Efficient Context-Aware Service Integration," Energies, MDPI, vol. 15(5), pages 1-18, February.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1729-:d:758758
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    References listed on IDEAS

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    1. Gordon Wetzstein & Aydogan Ozcan & Sylvain Gigan & Shanhui Fan & Dirk Englund & Marin Soljačić & Cornelia Denz & David A. B. Miller & Demetri Psaltis, 2020. "Inference in artificial intelligence with deep optics and photonics," Nature, Nature, vol. 588(7836), pages 39-47, December.
    2. Bin Dan & Shuguang Zhang & Maosen Zhou, 2018. "Strategies for warranty service in a dual-channel supply chain with value-added service competition," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5677-5699, September.
    3. Liu, Weihua & Yan, Xiaoyu & Wei, Wanying & Xie, Dong, 2019. "Pricing decisions for service platform with provider’s threshold participating quantity, value-added service and matching ability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 410-432.
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