The mapping process of unstructured data to structured data
The mapping process of unstructured data to structured data
复制标题
非结构化数据到结构化数据的映射过程
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Kamsuriah Ahmad
中科院分区：
文献类型：
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作者：
Mohammad Fikry Abdullah;Kamsuriah Ahmad
异构格式的非结构化数据的出现是至关重要的组织考虑作为基础，以支持组织功能。因此，迫切需要一个合适的非结构化数据管理过程，通过收集、管理、传输和转换这些数据，使其成为有意义的、有信息的数据。有效和高效的非结构化数据到结构化数据的映射过程可以帮助组织理解开发和转换的数据在支持决策过程中的重要性。目前还没有研究将非结构化数据映射到结构化数据，以满足组织的需求。本文将解释四（4）个主要过程，即数据的提取，分类，存储库开发和映射，旨在帮助生成更结构化，全面，集体和主题多样的新数据和信息，以满足组织需求。这项研究的结果是确保非结构化数据到结构化数据的映射过程将非结构化数据表示为可再生资产，这些资产对服务于组织功能是有用的，知情的和有意义的。
Emergence of heterogeneous format of unstructured data is vital for an organization to consider as a basis to support organization function. Thus, there is an urgency of a suitable management process of unstructured data through collecting, manage, transfer and transform these data to a meaningful and informed data. Effective and efficient mapping processes of unstructured data to structured data could help organization to understand the significance of exploited and transformed data in supporting decision making process. Currently there is no study done on mapping unstructured data to structured data that can full fill the organization needs. This paper will explained four (4) main processes which are extraction, classification, repositories development and mapping of data with intention to help in generating new data and information which are more structured, comprehensive, collective and varied in topics to serve organizational needs. Output from this study is to ensure the mapping process of unstructured data to structured data will denote unstructured data as renewable assets that is useful, well informed and meaningful to serve organizational functions.