Qualifying geospatial workflow models for adaptive controlled validity and accuracy
Qualifying geospatial workflow models for adaptive controlled validity and accuracy
复制标题
验证地理空间工作流程模型的自适应受控有效性和准确性
DOI：
10.1109/geoinformatics.2009.5293485
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
M. Jackson
中科院分区：
文献类型：
--
作者：
D. Leibovici;G. Hobona;Kristin Stock;M. Jackson
在GEOSS（全球对地观测分布式系统）这样的系统中共享地理空间数据和地理信息模型对互操作性概念和技术提出了挑战。标准化机构、提供者、研究人员和政策确保在实现这一目标方面取得进展。尽管如此，这些服务的可获得性对信息资源的使用和再利用提出了质疑，因为信息资源的背景、规模、敏感性和质量都很合适。从链接数据和过程的工作流交付的结果（多个）可能相应地变化，其中数据和过程不一定是以该工作流的隐含目标来详细阐述的。需要控制修改或调整工作流程的决策。用与所选数据集和所选子模型相关的额外元数据来限定工作流程模型，对于帮助科学家评估结果的可靠性以及完善相应的基于全球测地系统的模型至关重要。本文研究了不同的方法来控制这种工作流的有效性，并评估其质量和敏感性。一个元模型集成元数据的措施与当前的标准进行了研究。
Sharing geospatial data and geoprocessing models within a system like GEOSS (Global Earth Observation System of Systems) is challenging to interoperability concepts and technology. Standardisation bodies, providers, researchers and policies ensure progress towards this goal. Nonetheless, the availability of these services questions the use and reuse of information resources in terms of their appropriate context, scale, sensitivity and quality. The outcome(s) delivered from a workflow chaining data and processes that were not necessarily elaborated with the implicit aim of this workflow, may vary accordingly. Decisions to modify or adapt the workflow needs to be controlled. Qualifying a workflow model with additional metadata associated with the chosen datasets and the chosen sub-models is essential to help scientists in assessing the reliability of outcomes but also to refine the corresponding GEOSS-based model. This paper investigates different approaches to control the validity of such workflow and for assessing its quality and sensitivity. A meta-model integrating metadata measures compatible with current standards is investigated.
DOI：
10.1080/13658810802570291
发表时间：
2010-02
影响因子：
5.7
作者：
Kristin Stock;R. Atkinson;C. Higgins;Mark Small;A. Woolf;K. Millard;D. Arctur
通讯作者：
Kristin Stock;R. Atkinson;C. Higgins;Mark Small;A. Woolf;K. Millard;D. Arctur