An ontology supporting planning, analysis, and simulation of evolving digital ecosystems

Johannes Biermann, Anna Eggers, Fabio Corubolo, S. Waddington
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引用次数: 4

Abstract

Digital Ecosystems (DEs) are interwoven networks of Digital Objects (DOs), policies, processes, services and user communities, within constantly changing and interacting environments. Their complex grown structures can be difficult to maintain and it can be hard to foresee the impact of planned and unplanned change. The PERICLES EU FP7 project developed the Digital Ecosystem Model (DEM), an ontology to model those complex DEs for supporting their maintenance and preservation. It provides concepts to express dependencies, provenance and analysis. Planned or unplanned changes to a DE represented via the DEM can be simulated in advance to analyse and mitigate risks, and to assure the quality of the DE architecture. PERICLES developed the EcoBuilder tool to support scenario experts in modelling aspects of interests of their DEs with the DEM for further investigation and maintenance. The DEM can be extended by domain specific ontologies to support various use cases of different domains, e.g. the digital media and art domains for which specialised ontologies [10] are developed in PERICLES. This approach supports documentation of the entities and their environments not only for preservation purposes, but also for the management of environmental drift in a wider range of domains, such as the digital ecosystems of Internet of Things (IoT), which we used as example in this paper.
支持规划、分析和模拟不断发展的数字生态系统的本体
数字生态系统(DEs)是在不断变化和相互作用的环境中由数字对象(DOs)、政策、流程、服务和用户社区交织而成的网络。它们复杂的生长结构可能难以维护,并且很难预见计划内和计划外变化的影响。PERICLES EU FP7项目开发了数字生态系统模型(DEM),这是一个为这些复杂的DEs建模的本体,以支持它们的维护和保存。它提供了表达依赖关系、来源和分析的概念。通过DEM表示的DE的计划或计划外更改可以提前模拟,以分析和减轻风险,并确保DE体系结构的质量。PERICLES开发了EcoBuilder工具,以支持场景专家通过DEM对其de的利益方面进行建模,以便进行进一步的调查和维护。DEM可以通过特定领域的本体进行扩展,以支持不同领域的各种用例,例如,在PERICLES中开发了专门的本体[10]的数字媒体和艺术领域。这种方法支持实体及其环境的文档记录,不仅用于保护目的,而且还用于更广泛领域的环境漂移管理,例如物联网(IoT)的数字生态系统,我们在本文中以其为例。
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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