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P.k. Jimack - One of the best experts on this subject based on the ideXlab platform.

  • Semantically-Enhanced Model-Experiment-EvaluationProcesses (SeMEEPs) within the Atmospheric ChemistryCommunity
    2008
    Co-Authors: P.m. Dew, M.h. Haji, P.k. Jimack, C. J. Martin, M. J. Pilling
    Abstract:

    The scientific Model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-Enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the Model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically Enhanced provenance within the wider community processes, Semantically-Enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational Models to conduct evaluations.

  • IPAW - Semantically-Enhanced Model-Experiment-Evaluation Processes (SeMEEPs) within the Atmospheric Chemistry Community
    Lecture Notes in Computer Science, 2008
    Co-Authors: C. J. Martin, P.m. Dew, M.h. Haji, M. J. Pilling, P.k. Jimack
    Abstract:

    The scientific Model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-Enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the Model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically Enhanced provenance within the wider community processes, Semantically-Enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational Models to conduct evaluations.

C. J. Martin - One of the best experts on this subject based on the ideXlab platform.

  • Semantically-Enhanced Model-Experiment-EvaluationProcesses (SeMEEPs) within the Atmospheric ChemistryCommunity
    2008
    Co-Authors: P.m. Dew, M.h. Haji, P.k. Jimack, C. J. Martin, M. J. Pilling
    Abstract:

    The scientific Model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-Enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the Model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically Enhanced provenance within the wider community processes, Semantically-Enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational Models to conduct evaluations.

  • IPAW - Semantically-Enhanced Model-Experiment-Evaluation Processes (SeMEEPs) within the Atmospheric Chemistry Community
    Lecture Notes in Computer Science, 2008
    Co-Authors: C. J. Martin, P.m. Dew, M.h. Haji, M. J. Pilling, P.k. Jimack
    Abstract:

    The scientific Model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-Enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the Model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically Enhanced provenance within the wider community processes, Semantically-Enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational Models to conduct evaluations.

M. J. Pilling - One of the best experts on this subject based on the ideXlab platform.

  • Semantically-Enhanced Model-Experiment-EvaluationProcesses (SeMEEPs) within the Atmospheric ChemistryCommunity
    2008
    Co-Authors: P.m. Dew, M.h. Haji, P.k. Jimack, C. J. Martin, M. J. Pilling
    Abstract:

    The scientific Model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-Enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the Model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically Enhanced provenance within the wider community processes, Semantically-Enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational Models to conduct evaluations.

  • IPAW - Semantically-Enhanced Model-Experiment-Evaluation Processes (SeMEEPs) within the Atmospheric Chemistry Community
    Lecture Notes in Computer Science, 2008
    Co-Authors: C. J. Martin, P.m. Dew, M.h. Haji, M. J. Pilling, P.k. Jimack
    Abstract:

    The scientific Model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-Enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the Model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically Enhanced provenance within the wider community processes, Semantically-Enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational Models to conduct evaluations.

P.m. Dew - One of the best experts on this subject based on the ideXlab platform.

  • Semantically-Enhanced Model-Experiment-EvaluationProcesses (SeMEEPs) within the Atmospheric ChemistryCommunity
    2008
    Co-Authors: P.m. Dew, M.h. Haji, P.k. Jimack, C. J. Martin, M. J. Pilling
    Abstract:

    The scientific Model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-Enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the Model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically Enhanced provenance within the wider community processes, Semantically-Enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational Models to conduct evaluations.

  • IPAW - Semantically-Enhanced Model-Experiment-Evaluation Processes (SeMEEPs) within the Atmospheric Chemistry Community
    Lecture Notes in Computer Science, 2008
    Co-Authors: C. J. Martin, P.m. Dew, M.h. Haji, M. J. Pilling, P.k. Jimack
    Abstract:

    The scientific Model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-Enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the Model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically Enhanced provenance within the wider community processes, Semantically-Enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational Models to conduct evaluations.

M.h. Haji - One of the best experts on this subject based on the ideXlab platform.

  • Semantically-Enhanced Model-Experiment-EvaluationProcesses (SeMEEPs) within the Atmospheric ChemistryCommunity
    2008
    Co-Authors: P.m. Dew, M.h. Haji, P.k. Jimack, C. J. Martin, M. J. Pilling
    Abstract:

    The scientific Model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-Enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the Model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically Enhanced provenance within the wider community processes, Semantically-Enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational Models to conduct evaluations.

  • IPAW - Semantically-Enhanced Model-Experiment-Evaluation Processes (SeMEEPs) within the Atmospheric Chemistry Community
    Lecture Notes in Computer Science, 2008
    Co-Authors: C. J. Martin, P.m. Dew, M.h. Haji, M. J. Pilling, P.k. Jimack
    Abstract:

    The scientific Model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-Enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the Model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically Enhanced provenance within the wider community processes, Semantically-Enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational Models to conduct evaluations.