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

Research Article

Towards Collaborative Typed Resources Manipulation in Health-Care Environments

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  • @INPROCEEDINGS{10.1007/978-3-030-00916-8_33,
        author={Lixu Shao and Yucong Duan and Zhangbing Zhou and Antonella Longo and Donghai Zhu and Honghao Gao},
        title={Towards Collaborative Typed Resources Manipulation in Health-Care Environments},
        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={Knowledge graph Collaborative adaptation Typed resources},
        doi={10.1007/978-3-030-00916-8_33}
    }
    
  • Lixu Shao
    Yucong Duan
    Zhangbing Zhou
    Antonella Longo
    Donghai Zhu
    Honghao Gao
    Year: 2018
    Towards Collaborative Typed Resources Manipulation in Health-Care Environments
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-030-00916-8_33
Lixu Shao1,*, Yucong Duan1,*, Zhangbing Zhou2,*, Antonella Longo3,*, Donghai Zhu1,*, Honghao Gao4,*
  • 1: Hainan University
  • 2: China University of Geosciences (Beijing)
  • 3: University del Salento
  • 4: Shanghai University
*Contact email: 751486692@qq.com, duanyucong@hotmail.com, zhangbing.zhou@gmail.com, antonella.longo@unisalento.it, 466971642@qq.com, gaohonghao@shu.edu.cn

Abstract

Web service is a popular solution to integrate components when building a software system, or to allow communication between a system and third-party users, providing a flexible and reusable mechanism to access its functionalities. Due to differences in medical level and extremely uneven distribution of medical resources, medical information technology lacks unified planning and is not supported by digital health care system. Thus diagnosis resources of patients cannot be shared by each medical institution. Inspections usually repeat which not only increases the burden of hospitalizing and physical injuries, but also leads to the waste of medical resources. We propose a framework towards constructing and searching typed health resources in terms of data, information and knowledge through a hierarchy composing Data Graph, Information Graph and Knowledge Graph in order to improve performance in accessing and processing resources. We use cases to illustrate the mechanism of the framework.