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。
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.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2010年第4期384-387,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40721001)
关键词
遥感信息服务
语义匹配
服务组合
remotely sensed information service
semantic matehing
service composition
