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Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings

Research Article

Constructing Search as a Service Towards Non-deterministic and Not Validated Resource Environment with a Positive-Negative Strategy

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  • @INPROCEEDINGS{10.1007/978-3-030-00916-8_34,
        author={Yucong Duan and Lixu Shao and Xiaobing Sun and Lizhen Cui and Donghai Zhu and Zhengyang Song},
        title={Constructing Search as a Service Towards Non-deterministic and Not Validated Resource Environment with a Positive-Negative Strategy},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11--13, 2017, Proceedings},
        proceedings_a={COLLABORATECOM},
        year={2018},
        month={10},
        keywords={Bidirectional search Knowledge graph Resource modeling Dynamic equilibrium},
        doi={10.1007/978-3-030-00916-8_34}
    }
    
  • Yucong Duan
    Lixu Shao
    Xiaobing Sun
    Lizhen Cui
    Donghai Zhu
    Zhengyang Song
    Year: 2018
    Constructing Search as a Service Towards Non-deterministic and Not Validated Resource Environment with a Positive-Negative Strategy
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-030-00916-8_34
Yucong Duan1,*, Lixu Shao1,*, Xiaobing Sun2,*, Lizhen Cui3,*, Donghai Zhu1,*, Zhengyang Song1,*
  • 1: Hainan University
  • 2: Yangzhou University
  • 3: Shandong University
*Contact email: duanyucong@hotmail.com, 751486692@qq.com, xbsun@yzu.edu.cn, clz@sdu.edu.cn, 466971642@qq.com, 1464626602@qq.com

Abstract

Internet resources are non-deterministic, non-guaranteed and ultra-complex. We provide a progressive search approach towards problems with positive and negative tendencies aiming at improving the credibility of resources through multi times progressive searching. Meanwhile, we introduce Knowledge Graph as a resource process architecture to organize resources on the network and analyze the tendency of searchers for retrieving information by semantic analysis. We calculate entropy of resources according to searching times and amount of items of each search to represent the reliability of resources with positive and negative tendencies. Resources with ambiguous tendency and false information will be eliminated during the process of progressive search and quality of searching results will be improved while avoiding dead loop of searching towards infinite and complex problems. We apply the searching strategy to a medical resource processing system that provides high precision medical resource retrieval service for medical workers to verify the feasibility of our approach.

Keywords
Bidirectional search Knowledge graph Resource modeling Dynamic equilibrium
Published
2018-10-17
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-00916-8_34
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