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Semantic and syntactic interoperability in online processing of big Earth observation data.
International Journal of Digital Earth ( IF 3.7 ) Pub Date : 2017-05-31 , DOI: 10.1080/17538947.2017.1332112
Martin Sudmanns 1 , Dirk Tiede 1 , Stefan Lang 1 , Andrea Baraldi 1, 2
Affiliation  

ABSTRACT

The challenge of enabling syntactic and semantic interoperability for comprehensive and reproducible online processing of big Earth observation (EO) data is still unsolved. Supporting both types of interoperability is one of the requirements to efficiently extract valuable information from the large amount of available multi-temporal gridded data sets. The proposed system wraps world models, (semantic interoperability) into OGC Web Processing Services (syntactic interoperability) for semantic online analyses. World models describe spatio-temporal entities and their relationships in a formal way. The proposed system serves as enabler for (1) technical interoperability using a standardised interface to be used by all types of clients and (2) allowing experts from different domains to develop complex analyses together as collaborative effort. Users are connecting the world models online to the data, which are maintained in a centralised storage as 3D spatio-temporal data cubes. It allows also non-experts to extract valuable information from EO data because data management, low-level interactions or specific software issues can be ignored. We discuss the concept of the proposed system, provide a technical implementation example and describe three use cases for extracting changes from EO images and demonstrate the usability also for non-EO, gridded, multi-temporal data sets (CORINE land cover).



中文翻译:


地球观测大数据在线处理中的语义和句法互操作性。


 抽象的


实现句法和语义互操作性以实现全面且可重复的在线处理大地球观测 (EO) 数据的挑战仍未解决。支持这两种类型的互操作性是从大量可用的多时态网格数据集中有效提取有价值信息的要求之一。所提出的系统将世界模型(语义互操作性)包装到 OGC Web 处理服务(句法互操作性)中以进行语义在线分析。世界模型以正式的方式描述时空实体及其关系。所提出的系统可以实现(1)使用可供所有类型的客户使用的标准化接口实现技术互操作性,以及(2)允许来自不同领域的专家共同开发复杂的分析。用户将世界模型在线连接到数据,这些数据作为 3D 时空数据立方体保存在集中存储中。它还允许非专家从 EO 数据中提取有价值的信息,因为可以忽略数据管理、低级交互或特定软件问题。我们讨论了所提出系统的概念,提供了一个技术实现示例,并描述了从 EO 图像中提取变化的三个用例,并演示了非 EO、网格、多时态数据集(CORINE 土地覆盖)的可用性。

更新日期:2017-05-31
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