测绘学报 ›› 2015, Vol. 44 ›› Issue (9): 1029-1035.doi: 10.11947/j.AGCS.2015.20140021

• 地图学与地理信息 • 上一篇    下一篇

应用描述词汇约简的OGC地理信息服务演绎推理

苗立志1,2, 胥婕1, 周亚3, 程文超3   

  1. 1. 南京邮电大学地理与生物信息学院, 江苏 南京 210023;
    2. 南京邮电大学泛在网络健康服务系统教育部工程研究中心, 江苏 南京 210023;
    3. 南京邮电大学通信与信息工程学院, 江苏 南京 210023
  • 收稿日期:2014-10-29 修回日期:2015-02-10 出版日期:2015-09-24 发布日期:2015-09-24
  • 作者简介:苗立志(1981—),男,博士后,副教授,硕士生导师,研究方向为地理信息共享与空间数据互操作、分布式地理空间信息处理等。E-mail:miaolz@njupt.edu.cn
  • 基金资助:
    国家自然科学基金(41101359;41471329)

OGC Geographic Information Service Deductive Semantic Reasoning Based on Description Vocabularies Reduction

MIAO Lizhi1,2, XU Jie1, ZHOU Ya3, CHENG Wenchao3   

  1. 1. College of Geographical and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
    2. Engineering Research Center of Ubiquitous Network Health Service System of Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
    3. College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
  • Received:2014-10-29 Revised:2015-02-10 Online:2015-09-24 Published:2015-09-24
  • Supported by:
    The National Natural Science Foundation of China (Nos.41101359 41471329)

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。

关键词: 粗糙集理论, 词汇约简, 地理信息服务, 地理本体, 语义推理

Abstract: 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.

Key words: rough set theory, vocabulary reduction, geographic information services, geographic ontology, semantic reasoning

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