中文摘要：

针对OGC地理信息服务在地理空间知识的有效组织和表达方面的能力比较弱,缺乏对服务信息的描述,数据丰富而知识缺乏,致使已有的数据在知识的表示和检索上存在缺陷,通过引入地理本体,按照基础地理信息要素分类,对地理信息服务的关键描述词汇进行提取,构建了地理信息服务本体库和实例数据库,应用粗糙集理论建立关键描述词汇约简模型,基于该模型实现了对地理信息服务实例数据库进行知识约简,形成最优实例数据库。最后应用地理信息服务本体库和实例数据库,基于演绎推理模型开发实例原型系统,实现了对地理信息服务对象的语义检索和推理,并通过试验从查全率和查准率两个指标验证了该方法的可行性、有效性和准确性。

英文摘要：

As geographic information interoperability and sharing developing,more and more interoperable OGC（open geospatial consortium）Web services（OWS）are generated and published through the internet.These services can facilitate the integration of different scientific applications by searching,finding,and utilizing the large number of scientific data and Web services.However,these services are widely dispersed and hard to be found and utilized with executive semantic retrieval.This is especially true when considering the weak semantic description of geographic information service data.Focusing on semantic retrieval and reasoning of the distributed OWS resources,a deductive and semantic reasoning method is proposed to describe and search relevant OWS resources.Specifically,1description words are extracted from OWS metadata file to generate GISe ontology-database and instance-database based on geographic ontology according to basic geographic elements category,2a description words reduction model is put forward to implement knowledge reduction on GISe instance-database based on rough set theory and generate optimized instances database,3utilizing GISe ontology-database and optimized instance-database to implement semantic inference and reasoning of geographic searching objects is used as an example to demonstrate the efficiency,feasibility and recall ration of the proposed description-word-based reduction model.