2 research outputs found

    Towards cloud driven semantic annotation

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    Semantic Web Technologies have been an active research area for some time and they are concerned with the development of technological concepts and artefacts that can drive the much elusive semantic web. The idea of a semantic web is a web which comprises of data with well-defined meaning. It is also a web that is context-aware in nature, whereby web documents are easily understandable and able to be processed by machines based on the underlying meaning provided for the documents by making use of annotation data (i.e. metadata). While several concepts have been proposed to drive the semantic web, none has so far demonstrated potentials to transform the current Web 2.0 to a truly semantic Web 3.0. With the advent of diverse technological innovations such as internet of things, cloud computing, big data analytics, etc. it is pertinent to review the state-of-the-art for semantic annotation and how it can be impacted by any of these technologies. This paper provides a review of semantic annotation state-of-the-art and how cloud computing as a paradigm can impact on it. © 2017 IEEE

    Implementation Strategies for Modeling and Simulation in Military Organizations

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    Some IT project managers working for U.S. military organizations are struggling to implement modern modeling and simulation (M&S) technology. Implementation strategies are needed to help IT practitioners deliver meaningful simulations and models that ultimately help senior leaders make logical and science-based decisions. Grounded in the extended technology acceptance model, the purpose of this qualitative multiple-case study was to explore strategies some IT project managers supporting U.S. military organizations use to implement modern M&S technology. The participants included 10 civil servants who successfully implemented modeling and simulation technology for military organizations located in the United States eastern region. Data was collected from one-on-one semistructured interviews (n = 10) and internal and external organizational documents (n = 12) provided by the participants. Data were analyzed using thematic analysis. Three major themes emerged: understand the true M&S requirements, incorporate subject matter experts throughout implementation, and anticipate and overcome persistent challenges. One recommendation is for practitioners to develop tasks and milestones to address these challenges at the beginning of implementation and add them to the project schedule. The implications for positive social change include the potential for successful implementation of models and military organizations\u27 simulations to safeguard human lives
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