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  • The Integration of Ontologies and RFID NFC in Healthcare

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    83083_1.pdf (136.8Kb)
    Author(s)
    Darcy, Peter
    Binnewies, Sebastian
    Stantic, Bela
    Griffith University Author(s)
    Stantic, Bela
    Darcy, Peter J.
    Binnewies, Sebastian
    Year published
    2012
    Metadata
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    Abstract
    Radio Frequency Identification (RFID) Technology uses wireless technology to seamlessly identify a large amount of tagged objects within a close proximity. With the increase of Smart Phone adoption and the continual advances in the technologies present for users, there have been many applications available to the public. One of the recent additions to mainstream Smart Phones is Near Field Communication (NFC) technology which will allow the devices to read RFID tags allowing it to become a cheaper and mainstream alternative for RFID readers. In this paper, we propose a methodology that takes advantage of NFC ...
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    Radio Frequency Identification (RFID) Technology uses wireless technology to seamlessly identify a large amount of tagged objects within a close proximity. With the increase of Smart Phone adoption and the continual advances in the technologies present for users, there have been many applications available to the public. One of the recent additions to mainstream Smart Phones is Near Field Communication (NFC) technology which will allow the devices to read RFID tags allowing it to become a cheaper and mainstream alternative for RFID readers. In this paper, we propose a methodology that takes advantage of NFC capabilities and intelligent ontology software to provide health professionals with an efficient method of delivering treatments to patients. We then conclude this study with a discussion of the strengths and potential drawbacks of the proposed methodology.
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    Conference Title
    International Conference on Software, Telecommunications and Computer Networks - SoftCOM 2012
    Publisher URI
    http://marjan.fesb.hr/SoftCOM/2012/
    Copyright Statement
    © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Artificial Intelligence and Image Processing not elsewhere classified
    Data Format not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/49250
    Collection
    • Conference outputs

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