面向大数据社区的知识网格模型研究

Sara Hosseinioun, R. Abdullah, Khashayar Namsehchi, Y. Y. Jusoh, M. Jabar
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引用次数: 0

摘要

作为数据科学家的大数据用户通过合并和支持知识管理系统的特征作为一个大数据社区来帮助获取和分享专业知识、经验和想法。因此,包括知识传递和知识接受在内的知识交流与共享是社区生存的基础。知识网格作为一种通信基础设施,可以为海量数据信息的高效交换提供基础。本研究以相关文献为基础,定义了知识网格模型的变量。阐述了采用专家评审法进行效度检验和通过试点研究进行信度检验的过程。对测试结果进行了讨论,并用于改进研究仪器以进一步收集数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward Developing Knowledge Grid Model among Big Data Community: Pilot Study
Big data users as data scientists join by merging and supporting knowledge management system characteristics as a big data community to help capture and share expertise, experiences, ideas. Thus, their communication and sharing knowledge which includes knowledge transferring and knowledge receiving is fundamental for community existence. Knowledge grid as communication infrastructure can provide a foundation for exchanging huge among of data and information efficiently. This study represents the related literature and defines the variables for developing a knowledge grid model. It explains the process of validity test by using expert review method and reliability test by conducting a pilot study. The test results have been discussed and used for modifying the research instrument for further data collection.
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