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  • 1.
    Hu, Yan
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Peng, Cong
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Bai, Guohua
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Sharing Health Data Through Hybrid Cloud For Self-Management2015In: 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), IEEE, 2015Conference paper (Refereed)
    Abstract [en]

    Nowadays, patient self-management is encouraged in home-based healthcare, especially for chronic disease care. Sharing health information could improve the quality of patient self-management. In this paper, we introduce cloud computing as a potential technology to provide a more sustainable long-term solution compared with other technologies. A hybrid cloud is identified as a suitable way to enable patients to share health information for promoting the treatment of chronic diseases. And then a prototype on the case of type 2 diabetes is implemented to prove the feasibility of the proposed solution.

  • 2.
    Peng, Cong
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Good Record Keeping for Conducting Research Ethically CorrectManuscript (preprint) (Other academic)
  • 3.
    Peng, Cong
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    What Can Teachers Do to Make the Group Work Learning Effective: a Literature ReviewManuscript (preprint) (Other academic)
    Abstract [en]

    Group work-based learning is encouraged in higher education on account of both ped-agogical benefits and industrial employers’s requirements. However, although a plenty ofstudies have been performed, there are still various factors that will affect students’ groupwork-based learning in practice. It is important for the teachers to understand which fac-tors are influenceable and what can be done to influence. This paper performs a literaturereview to identify the factors that has been investigated and reported in journal articles. Fif-teen journal articles were found relevant and fifteen factors were identified, which could beinfluenced by instructors directly or indirectly. However, more evidence is needed to sup-port the conclusion of some studies since they were performed only in one single course.Therefore, more studies are required on this topic to investigate the factors in differentsubject areas. 

  • 4.
    Peng, Cong
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Bai, Guohua
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Using Tag based Semantic Annotation to Empower Client and REST Service Interaction2018In: COMPLEXIS 2018 - Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk, SciTePress, 2018, p. 64-71Conference paper (Refereed)
    Abstract [en]

    The utilization of Web services is becoming a human labor consuming work as the rapid growth of Web. The semantic annotated service description can support more automatic ways on tasks such as service discovery, invocation and composition. But the adoption of existed Semantic Web Services solutions is hindering by their overly complexity and high expertise demand. In this paper we propose a highly lightweight and non-intrusive method to enrich the REST Web service resources with semantic annotations to support a more autonomous Web service utilization and generic client service interaction. It is achieved by turning the service description into a semantic resource graph represented in RDF, with the added tag based semantic annotation and a small vocabulary. The method is implemented with the popular OpenAPI service description format, and illustrated by a simple use case example.

  • 5.
    Peng, Cong
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Goswami, Prashant
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology2019In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 19, no 8, article id 1747Article in journal (Refereed)
    Abstract [en]

    The development of electronic health records, wearable devices, health applications and Internet of Things (IoT)-empowered smart homes is promoting various applications. It also makes health self-management much more feasible, which can partially mitigate one of the challenges that the current healthcare system is facing. Effective and convenient self-management of health requires the collaborative use of health data and home environment data from different services, devices, and even open data on the Web. Although health data interoperability standards including HL7 Fast Healthcare Interoperability Resources (FHIR) and IoT ontology including Semantic Sensor Network (SSN) have been developed and promoted, it is impossible for all the different categories of services to adopt the same standard in the near future. This study presents a method that applies Semantic Web technologies to integrate the health data and home environment data from heterogeneously built services and devices. We propose a Web Ontology Language (OWL)-based integration ontology that models health data from HL7 FHIR standard implemented services, normal Web services and Web of Things (WoT) services and Linked Data together with home environment data from formal ontology-described WoT services. It works on the resource integration layer of the layered integration architecture. An example use case with a prototype implementation shows that the proposed method successfully integrates the health data and home environment data into a resource graph. The integrated data are annotated with semantics and ontological links, which make them machine-understandable and cross-system reusable.

  • 6.
    Peng, Cong
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Goswami, Prashant
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Bai, Guohua
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    An Ontological Approach to Integrate Health Resources from Different Categories of Services2018In: HEALTHINFO 2018, The Third International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing, International Academy, Research and Industry Association (IARIA), 2018, p. 48-54Conference paper (Refereed)
    Abstract [en]

    Effective and convenient self-management of health requires collaborative utilization of health data from different services provided by healthcare providers, consumer-facing products and even open data on the Web. Although health data interoperability standards include Fast Healthcare Interoperability Resources (FHIR) have been developed and promoted, it is impossible for all the different categories of services to adopt in the near future. The objective of this study aims to apply Semantic Web technologies to integrate the health data from heterogeneously built services. We present an Web Ontology Language (OWL)-based ontology that models together health data from FHIR standard implemented services, normal Web services and Linked Data. It works on the resource integration layer of the presented layered integration architecture. An example use case that demonstrates how this method integrates the health data into a linked semantic health resource graph with the proposed ontology is presented.

  • 7.
    Peng, Cong
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Goswami, Prashant
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Bai, Guohua
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Fuzzy Matching of OpenAPI Described REST Services2018In: Procedia Computer Science, Elsevier, 2018, Vol. 126, p. 1313-1322Conference paper (Refereed)
    Abstract [en]

    The vast amount of Web services brings the problem of discovering desired services for composition and orchestration. The syntactic service matching methods based on the classical set theory have a difficulty to capture the imprecise information. Therefore, an approximate service matching approach based on fuzzy control is explored in this paper. A service description matching model to the OpenAPI specification, which is the most widely used standard for describing the defacto REST Web services, is proposed to realize the fuzzy service matching with the fuzzy inference method developed by Mamdani and Assilian. An evaluation shows that the fuzzy service matching approach performed slightly better than the weighted approach in the setting context.

  • 8.
    Peng, Cong
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Goswami, Prashant
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Bai, Guohua
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Linking Health Web Services as Resource Graph by Semantic REST Resource Tagging2018In: Procedia Computer Science / [ed] Shakshuki E.,Yasar A., Elsevier, 2018, Vol. 141, p. 319-326Conference paper (Refereed)
    Abstract [en]

    Various health Web services host a huge amount of health data about patients. The heterogeneity of the services hinders the collaborative utilization of these health data, which can provide a valuable support for the self-management of chronic diseases. The combination of REST Web services and Semantic Web technologies has proven to be a viable approach to address the problem. This paper proposes a method to add semantic annotations to the REST Web services. The service descriptions and the resource representations with semantic annotations can be transformed into a resource graph. It integrates health data from different services, and can link to the health-domain ontologies and Linked Open Health Data to support health management and imaginative applications. The feasibility of out method is demonstrated by realizing with OpenAPI service description and JSON-LD representation in an example use case.

  • 9.
    Peng, Cong
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Guohua, Bai
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Flexible System Architecture of PHR to Support Sharing Health Data for Chronic Disease Self-Management2016In: Global Telemedicine and eHealth Updates: Knowledge Resources Vol. 9, 2016 / [ed] M Jordanova; F Lievens, International Society for Telemedicine & eHealth , 2016, Vol. 9, p. 11-15Conference paper (Refereed)
    Abstract [en]

    Health data sharing can benefit patients to self-manage the challenging chronic diseases out of hospital. The patient controlled electronic Personal Health Record (PHR), as a tool manages comprehensive health data, is absolutely a good entry point to share health data with multiple parties for mutual benefits in the long-term.

    However, sharing health data from PHR remains challenges. The sharing of health data has to be considered holistically together with the key issues such as privacy, compatibility, evolvement and so on. A PHR system should be flexible to aggregate health data of a patient from various sources to make it comprehensive and up-to-date, should be flexible to share different categories and levels of health data for various utilizations, should be flexible to embed emerging access control mechanisms to ensure privacy and security under different sceneries.

    Therefore, the flexibility of system architecture on the integration of existed and future diversifications is crucial for PHR’s practical long-term usability. This paper discussed the necessity and some advice of possible solution, by the reviewed literatures and the experience from a previous study, of flexible PHR system architecture on the mentioned aspects.

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