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Architecture for semantic web service composition in spatial data infrastructures
Survey Review ( IF 1.6 ) Pub Date : 2020-12-25 , DOI: 10.1080/00396265.2020.1858255
Deniztan Ulutaş Karakol 1 , Çetin Cömert 1
Affiliation  

The importance of geospatial data has rendered it to be used in decision-making in both public and private sectors. The purpose of this study was to employ Semantic Web Technology (SWT) for the problems of Web Service Composition (WSC) in the context of Spatial Data Infrastructures (SDI). Some of these problems are identifying the workflow sequence and the user goal, discovering services according to service parameters, and matching these parameters. As a suggestion for the solution of all these problems a semi-automated WSC architecture was proposed in this study. In terms of architecture, users state their ‘goal’ with a natural language sentence. By semantically matching this sentence with a Spatial Services Ontology (SSO), the corresponding ‘abstract’ WSC was ‘located’ and the ‘concrete’ WSC was formed. Although there are still problems waiting to be solved due to the scope of the work, this study makes a valuable contribution to the area.



中文翻译:

空间数据基础设施中语义网络服务组合的架构

地理空间数据的重要性使其可用于公共和私营部门的决策。本研究的目的是在空间数据基础设施 (SDI) 的背景下采用语义 Web 技术 (SWT) 来解决 Web 服务组合 (WSC) 的问题。其中一些问题是识别工作流序列和用户目标,根据服务参数发现服务,并匹配这些参数。作为解决所有这些问题的建议,本研究提出了一种半自动化的 WSC 架构。在架构方面,用户用自然语言句子陈述他们的“目标”。通过将这个句子与空间服务本体(SSO)进行语义匹配,相应的“抽象”WSC 被“定位”并形成了“具体”WSC。

更新日期:2020-12-25
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