Ontology-driven Open Data Enrichment Framework for Value Optimisation: The Case of National Performance Indicators for Botswana

Oarabile Sebubi, I. Zlotnikova, H. Hlomani
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引用次数: 1

Abstract

:This paper presents a design artefact, Ontology-driven Open Data Enrichment Framework, as a preliminary deliverable of a research that proposes a semantic framework of Open Data (OD) on National Performance Indicators (NPIs) within the context of the National Integrated Indicator Framework for Botswana. The proposed framework addresses the problem of lower impact of OD resulting from heterogeneities that pertain to data platforms, standards, access modes, models, formats, and definitions. The framework maps a transition from static and disintegrated OD on NPIs to Intelligent Linked Open Data (ILOD) for value optimisation. This ongoing research follows the design science research methodology and the paper presents the output of the first three phases of the methodology. This deliverable will be finalised once the implementation and evaluation phases are complete. The finalised framework will serve as a blueprint in the conversion of desperate and static OD on NPIs to interlinked and intelligent content. It is expected to yield significant academic, social and business benefits. Though the framework is aligned to Botswana, it can be customised to suit the needs of other developing countries.
本体驱动的价值优化开放数据丰富框架:博茨瓦纳国家绩效指标的案例
本文提出了一个设计工件,本体驱动的开放数据丰富框架,作为一项研究的初步交付成果,该研究在博茨瓦纳国家综合指标框架的背景下提出了关于国家绩效指标(npi)的开放数据(OD)语义框架。提议的框架解决了由于数据平台、标准、访问模式、模型、格式和定义的异构性而导致的OD影响较低的问题。该框架映射了从npi上静态和分解的OD到价值优化的智能链接开放数据(ILOD)的过渡。这项正在进行的研究遵循了设计科学的研究方法论,本文介绍了该方法论的前三个阶段的成果。一旦实施和评估阶段完成,该交付成果将最终确定。最后确定的框架将作为一份蓝图,将关于国家行动方案的绝望和静态OD转变为相互关联和智能的内容。预计将产生显著的学术、社会和商业效益。虽然该框架与博茨瓦纳一致,但它可以根据其他发展中国家的需要进行定制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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