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    Healthcare-event driven semantic knowledge extraction with hybrid data repository

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    Authors
    Yu, Hong Qing
    Zhao, Xia
    Zhen, Xin
    Dong, Feng
    Liu, Enjie
    Clapworthy, Gordon J.
    Affiliation
    University of Bedfordshire
    Issue Date
    2014-08
    Subjects
    application program interfaces
    data integration
    health care
    knowledge acquisition
    H-event
    NoSQL knowledge bases
    NoSQL storage
    data integration process
    data processing
    healthcare-event driven semantic knowledge extraction
    hybrid data repository
    medical symptoms
    ontological knowledge extraction
    personalised health conditions
    public data service API
    semantic triple repository
    social media Web API
    wearable sensors
    biomedical monitoring
    data mining
    knowledge based systems
    medical services
    monitoring
    resource description framework
    semantics
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    Abstract
    In this paper, we introduce a Healthcare-Event (H-event) based knowledge extraction approach on a hybrid data repository. The repository collects (with individual user's permission) dynamic and large volume healthcare related data from various resources such as wearable sensors, social media Web APIs and our application itself. The proposed extraction approach relies on two data processing processes. One is the data integration process to dynamically retrieving the large data using public data service APIs. The first process also generates a set of big knowledge bases and stored in NoSQL storage. This paper will focus on the second extraction process that is the H-Event based ontological knowledge extraction for detecting and monitoring user's healthcare related situations, such as medical symptoms, treatments, conditions and daily activities from the NoSQL knowledge bases. The second process can be seen as post-processing step to detect more explicit healthcare knowledge about personalised health conditions and represent the knowledge using RDF formats in a semantic triple repository to enhance further data analytics.
    Citation
    H Q Yu, X Zhao, X Zhen, F Dong, E Liu, G J Clapworthy, (2014) 'Healthcare-event driven semantic knowledge extraction with hybrid data repository'. 4th International Conference on Innovative Computing Technology (INTECH 2014), University of Bedfordshire, Luton 13-15 August.
    Publisher
    IEEE
    URI
    http://hdl.handle.net/10547/338510
    DOI
    10.1109/INTECH.2014.6927774
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6927774
    Type
    Conference papers, meetings and proceedings
    Language
    en
    Sponsors
    This work is supported in part by the European Commission under Grant FP7-ICT-9-5.2-VPH-600929 within the MyHealthAvatar project.
    ae974a485f413a2113503eed53cd6c53
    10.1109/INTECH.2014.6927774
    Scopus Count
    Collections
    Centre for Computer Graphics and Visualisation (CCGV)

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