计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (20): 126-130.

• 数据库、数据挖掘、机器学习 • 上一篇    下一篇

面向OWS地理信息服务的描述词汇约简模型研究

胥  婕1,2,苗立志1,3,程文超4,周  亚4   

  1. 1.南京邮电大学 地理与生物信息学院,南京 210023
    2.上海计量测试技术研究院,上海 201203
    3.南京邮电大学 地理信息与生物信息处理研究所,南京 210023
    4.南京邮电大学 通信与信息工程学院,南京 210003
  • 出版日期:2015-10-15 发布日期:2015-10-30

Description vocabulary reduction model oriented OWS geographic information services

XU Jie1,2, MIAO Lizhi1,3, CHENG Wenchao4, ZHOU Ya4   

  1. 1.College of Geographical and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
    2.Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
    3.Institute of Geographical and Biological Information Processing, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
    4.College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Online:2015-10-15 Published:2015-10-30

摘要: 地理信息服务在发展进程中缺乏对服务信息的语义描述,处于数据丰富而知识缺乏的境地,要充分利用大量的已有数据信息,则必须对数据做一些精化处理,就迫切需要一种从大数据量中发现、提取知识的有效方法。该研究以OGC网络服务(OGC Web Service,OWS)为研究对象,基于OWS服务的XML文档和描述词汇,对搜集到的OWS服务进行解析,并引入粗糙集理论的约简方法,建立面向OWS服务的描述词汇约简模型,从而对解析后的OWS服务进行约简,最终形成OWS服务最优描述词汇集,为后续OWS语义推理奠定基础。

关键词: 地理信息服务, 粗糙集理论, 描述词汇, 约简, 语义推理

Abstract: This paper aims for developing a description vocabulary reduction model, based on rough set reduction and OGC(Open Geospatial Consortium) web services, to solve the plight of mass data but the dearth of knowledge in geographic information services. On the basis of XML documents in OWS services and description vocabulary, OWS services samples can be parsed. The reduction method of RS theory is utilized to establish the description vocabulary reduction model oriented OWS services, which can implement reduction for parsed OWSs. And also, an optimal description vocabulary set finally is generated, building up foundation for further research:OWS semantic reasoning.

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