基于语义匹配的遥感信息处理服务组合方法

基金项目: 国家自然科学基金资助项目(40721001)

详细信息

Remotely Sensed Information Processing Service Composition Based on Semantic Matching

¹State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China;²School of Civil and Architectural Engineering,Central South University,Changsha 410075,China

Funds: 国家自然科学基金资助项目(40721001)

摘要: 针对时域、空间、专题、分辨率等多种语义相互关联所导致的遥感信息处理服务组合的准确性难题,提出了一种基于语义匹配的遥感信息处理服务组合方法,包括多层次的遥感信息处理服务语义匹配和渐进精化的服务组合,即时构建与用户需求相关的服务关系与或图,将后续服务选择范围限定在需求相关服务的范围之内,在关系与或图中进行启发式搜索,并选择语义匹配度最高的子图作为服务组合的结果。
- 遥感信息服务 /
- 语义匹配 /
- 服务组合
Abstract: Aiming at the automatic service composition of remotely sensed information processing service,this paper proposes a semantic matching based composition method.Based on remote sensing information ontology,a hierarchical semantic matching methods on both service category and remotely sensed image metadata is introduced.And a progressive composition is implemented by two steps:① the service and/or graph related to user requirement is created on-line to limit the services' selection range;② AO* based heuristic search algorithm is used for optimal path in the and/or graph.Typical remote sensing change detection application is employed as a case study.
- remotely sensed information service /
- semantic matching /
- service composition