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Improving efficiency of service discovery using Linked data-based service publication

Author

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  • Wuhui Chen

    (University of Aizu)

  • Incheon Paik

    (University of Aizu)

Abstract

It is considered that Web services have had a tremendous impact on the web as a potential silver bullet for supporting a distributed service-based economy on a global scale. However, despite the outstanding progress, their uptake on a web scale has been significantly less than initially anticipated due to higher usage thresholds. For instance, it is a hard task for service provider to seek appropriate semantic information such as OWL ontologies for service annotation in the service publication stage due to the fact that nowadays we are suffering from serious lack of available and ubiquitous ontologies for global consensus. Also it is not realistic for query users who do not possess much semantic knowledge to specify their requests with associated semantic information in the service discovery stage. In this paper, we propose a methodology to build a global social service network based on Link data principles for reducing the using thresholds. First, we propose Linked social service which is published on the open web by following Linked data principles with social link, and then we suggest a new platform for constructing a global social service network based on Linked social service. Then, an approach is proposed to enable exploitation of global social service network, providing Linked Social Service as a Service. Finally, experimental results show that the Linked social service can reduce the using threshold by enabling exploring service to service based on the global social service network.

Suggested Citation

  • Wuhui Chen & Incheon Paik, 2013. "Improving efficiency of service discovery using Linked data-based service publication," Information Systems Frontiers, Springer, vol. 15(4), pages 613-625, September.
    • Handle: RePEc:spr:infosf:v:15:y:2013:i:4:d:10.1007_s10796-012-9381-x
    DOI: 10.1007/s10796-012-9381-x
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    References listed on IDEAS

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    1. Christian Bizer & Tom Heath & Tim Berners-Lee, 2009. "Linked Data - The Story So Far," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 5(3), pages 1-22, July.
    2. David Bell & Sergio Cesare & Nicola Iacovelli & Mark Lycett & Antonio Merico, 2007. "A framework for deriving semantic web services," Information Systems Frontiers, Springer, vol. 9(1), pages 69-84, March.
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    Cited by:

    1. Yong Sun & Wenan Tan & Lingxia Li & Weiming Shen & Zhuming Bi & Xiaoming Hu, 2016. "A new method to identify collaborative partners in social service provider networks," Information Systems Frontiers, Springer, vol. 18(3), pages 565-578, June.
    2. Wenge Rong & Baolin Peng & Yuanxin Ouyang & Kecheng Liu & Zhang Xiong, 2015. "Collaborative personal profiling for web service ranking and recommendation," Information Systems Frontiers, Springer, vol. 17(6), pages 1265-1282, December.
    3. Martin Garriga & Alan De Renzis & Ignacio Lizarralde & Andres Flores & Cristian Mateos & Alejandra Cechich & Alejandro Zunino, 2018. "A structural-semantic web service selection approach to improve retrievability of web services," Information Systems Frontiers, Springer, vol. 20(6), pages 1319-1344, December.
    4. Casey K. Fung & Patrick C. K. Hung, 2013. "Information and knowledge management in online rich presence services," Information Systems Frontiers, Springer, vol. 15(4), pages 521-523, September.
    5. Yingfeng Zhang & Geng Zhang & Yang Liu & Di Hu, 2017. "Research on services encapsulation and virtualization access model of machine for cloud manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1109-1123, June.
    6. Gang Tian & Jian Wang & Keqing He & Chengai Sun & Yuan Tian, 2017. "Integrating implicit feedbacks for time-aware web service recommendations," Information Systems Frontiers, Springer, vol. 19(1), pages 75-89, February.
    7. Martin Garriga & Alan De Renzis & Ignacio Lizarralde & Andres Flores & Cristian Mateos & Alejandra Cechich & Alejandro Zunino, 0. "A structural-semantic web service selection approach to improve retrievability of web services," Information Systems Frontiers, Springer, vol. 0, pages 1-26.

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