[1]徐 寅,吉根林,张书亮.基于地理本体的地下管线空间知识表示方法研究[J].南京师大学报(自然科学版),2013,36(01):127-132.
　Xu Yin,Ji Genlin,Zhang Shuliang.Research on Spatial Knowledge Representation Method of Underground Pipeline Based on Geo-ontology[J].Journal of Nanjing Normal University(Natural Science Edition),2013,36(01):127-132.
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基于地理本体的地下管线空间知识表示方法研究()
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《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
第36卷
期数:
2013年01期
页码:
127-132
栏目:
计算机科学
出版日期:
2013-03-31

文章信息/Info

Title:
Research on Spatial Knowledge Representation Method of Underground Pipeline Based on Geo-ontology
作者:
徐 寅1; 吉根林2; 张书亮1
(1.南京师范大学虚拟地理环境教育部重点实验室,江苏 南京 210023) (2.南京师范大学计算机科学与技术学院,江苏 南京 210023)
Author(s):
Xu Yin1; Ji Genlin2; Zhang Shuliang1
(1.Key Laboratory of Virtual Geographic Environment of Ministry of Education,Nanjing Normal University,Nanjing 210023,China) (2.School of Computer Science and Technology,Nanjing Normal University,Nanjing 210023,China)
关键词:
地下管线地理本体; 空间知识表示; OWL; SWRL
Keywords:
geo-ontology of underground pipeline; representation of spatial knowledge; web ontology language(OWL); semantic web rule language(SWRL)
分类号:
TP391
摘要:
地下管线空间知识作为连接管线建设规范与管线空间关系的桥梁,在地下管线GIS系统的管线数据校验等方面的重要作用已被众多研究人员、开发厂商所认同.而针对目前地下管线空间知识存在的语义缺失与可扩展性不强等问题,本文给出了一种基于地理本体的地下管线空间知识表示方法,通过本体描述语言OWL构建地下管线地理本体,在此基础上通过扩展的语义网规则语言SWRL实现地下管线空间知识的形式化表达.与传统的产生式及三值权位表方法相比,本体的方法使空间知识包含丰富的语义信息,易于扩展且支持复杂计算,有利于地下管线空间知识在不同系统间的共享与重用.
Abstract:
As the bridge of connecting the construction standard and spatial relationship of the underground pipeline,the spatial knowledge of the underground pipeline has been well-accepted by researchers and developers in aspects of data verification of the Underground Pipeline Geographic Information System(GIS).However,methods for representation and reasoning of spatial knowledge of underground pipeline still have existed some problems like loss of semantics and poor extendibility.Therefore,in this paper we give a spatial knowledge representation method of underground pipeline based on geo-ontology.Besides,we compare this method with the production representation and three values weight table method.The results show that,the spatial knowledge of underground pipeline based on geo-ontology can include rich semantic information,is easily extendible and support complex computations,which will be conductive to the share and reuse of spatial knowledge of underground pipeline among different system.

参考文献/References:

[1] 关增义,刘绍治,王健,等.GB50289 城市工程管线综合规划规范[S].北京:中国建筑工业出版社,1998.
[2]戚盛豪,万玉成,于超英,等.GB50013 室外给水设计规范[S].北京:中国计划出版社,2006.
[3]金石坚,李颜强,徐良,等.GB50028 城镇燃气设计规范[S].北京:中国建筑工业出版社,2006.
[4]Kondaveeti A,Runger G,Liu H,et al.Extracting geographic knowledge from sensor intervention data using spatial association rules[C]//Proceedings of 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services( ICSDM).Taiwan:IEEE Press,2011:127-130.
[5]Yu C,Peuquet D J.A GeoAgent-based framework for knowledge-oriented representation:Embracing social rules in GIS[J].International Journal of Geographical Information Science,2009,23(7):923-960.
[6]韩春华.基于GIS的铁路选线系统智能环境建模方法研究[D].成都:西南交通大学土木工程学院:2008.
[7]王生生,刘大有,谷方明,等.基于ALC的空间语义知识库[J].吉林大学学报:工学版,2011,41(2):424-429.
[8]Ballatore A,Bertolotto M,Wilson D C.Geographic knowledge extraction and semantic similarity in OpenStreetMap[J].Knowledge and Information Systems,2012:1-21.
[9]许婷.基于“知识与规则”的城市管线GIS数据校验研究[D].南京:南京师范大学地理科学学院,2005.
[10]王国荣,孙毅中.基于知识与规则的城市管线空间关系及数据校验[J].江苏城市规划,2006(1):40-43.
[11]陈继山,戴悦.基于知识与规则的城市地下管线数据监理[J].苏州科技学院学报:自然科学版,2009,26(2):76-80.
[12]Lutz M,Klien E.Ontology-based retrieval of geographic information[J].International Journal of Geographical Information Science,2006,20(3):233-260.
[13]Janowicz K,Keβler C.The role of ontology in improving gazetteer interaction[J].International Journal of Geographical Information Science,2008,22(10):1 129-1 157.
[14]黄勇奇,牛振国,崔伟宏.基于地理本体和SWRL的时空推理研究[J].武汉理工大学学报:交通科学与工程版,2009,33(6):1 175-1 178.
[15]宋佳,诸云强,王卷乐,等.基于GML的时空地理本体模型构建及应用研究[J].地球信息科学学报,2009,11(4):442-451.
[16]Antoniou G,Harmelen F.Web ontology language:OWL[J].Handbook on Ontologies,2009:91-110.
[17]Baader F.The Description Logic Handbook:Theory,Implementation,and Applications[M].London:Cambridge Univ Press,2003.
[18]Chi Y L,Chen I J.An ontological partner network model for composing suppliers[C]//Proceedings of 2011 International Symposium on Innovations in Intelligent Systems and Applications(INISTA).Fuzhou:IEEE Press,2011:475-479.
[19]Keβler C,Raubal M,Wosniok C.Semantic rules for context-aware geographical information retrieval[J].Smart Sensing and Context,2009:77-92.

备注/Memo

备注/Memo:
收稿日期:2012-10-26.
基金项目:国家自然科学基金(40871176,41171301).
通讯联系人:吉根林,教授,博士生导师,研究方向:数据库与数据挖掘技术、机器学习、XML技术等.E-mail:glji@njnu.edu.cn.
更新日期/Last Update: 2013-03-31