面向全息位置地图的室内空间本体建模
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摘要
全息位置地图是泛在网环境下以位置为核心实现多维时空动态信息关联,提供泛在空间信息智能服务的新型地图。其中,多维动态场景建模是全息位置地图创建位置本体,汇聚、关联、分析、传递和表达与位置相关的泛在信息的过程,同时也是全系位置地图基础数据建模的基础。本文面向全息位置地图室内多维动态场景建模需求,在室内空间语义划分的基础上,定义了室内空间语义概念、概念属性以及概念之间的关系集合,在此基础上提出面向全息位置地图的室内空间本体建模方法,并实现了一种室内空间本体建模工具。本文以武汉大学测绘遥感信息工程国家重点实验室为实验场,利用室内空间本体建模工具进行实验,实验结果能够有效支持室内泛在信息的语义查询,验证了本文方法的可行性。
Location-based Pan-Information Map is a new-type map with the location as the core, providing ubiquitous network's intelligent service and realizing multi-dimensional space-time information for dynamic association in the ubiquitous network environment. The multidimensional dynamic scene modeling is the foundation for Locationbased Pan-Information Map accessing to location and converging, correlating, analyzing, transferring and presenting ubiquitous information. Facing with demands in Location-based Pan-Information Map indoor scene modeling and based on semantic division in indoor space, this article defines semantic conceptions, attributions and relations in indoor space by ontology technology. An indoor space ontology modeling tool is developed on the basis of map, using visualization technology to realize scene modeling of indoor space. Finally, an experimental example with indoor ontology semantic modeling were taken in Wuhan University State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing effectively and the results supports the indoor ubiquitous information semantic query and proves the method's feasibility.
Location-based Pan-Information Map is a new-type map with the location as the core, providing ubiquitous network's intelligent service and realizing multi-dimensional space-time information for dynamic association in the ubiquitous network environment. The multidimensional dynamic scene modeling is the foundation for Locationbased Pan-Information Map accessing to location and converging, correlating, analyzing, transferring and presenting ubiquitous information. Facing with demands in Location-based Pan-Information Map indoor scene modeling and based on semantic division in indoor space, this article defines semantic conceptions, attributions and relations in indoor space by ontology technology. An indoor space ontology modeling tool is developed on the basis of map, using visualization technology to realize scene modeling of indoor space. Finally, an experimental example with indoor ontology semantic modeling were taken in Wuhan University State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing effectively and the results supports the indoor ubiquitous information semantic query and proves the method's feasibility.
引文
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[8]Kolbe T H,Grger G,Plumer L,City GML:Interoperable access to 3D city models[C]//Geo-information for disaster management.Springer Berlin Heidelberg,2005:883-899.
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[13]张寅宝,张威巍,张欣.建筑物室内空间建模研究综述[J].地理信息世界,2014,21(5):7-12.
[14]Yang L,Worboys M.A navigation ontology for outdoorindoor space:(work-in-progress)[C]//Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness.ACM,2011:31-34.
[15]陈建军,周成虎,王敬贵.地理本体的研究进展与分析[J].地学前缘,2006,13(3):81-90.
[2]周成虎,朱欣焰,王蒙,等.全息位置地图研究[J].地理科学进展,2011,30(11):1331-1335.
[3]朱欣焰,周成虎,呙维,等.全息位置地图概念内涵及其关键技术初探[J].武汉大学学报:信息科学版,2015,40(3),285-295.
[4]朱欣焰,樊亚新,胡涛,等.全息位置地图:以位置为核心实现空间信息的动态关联与智能化服务[J].海峡科技与产业,2014(10):87-91.
[5]黄亮.面向多源位置信息的语义位置建模与计算研究[D].武汉:武汉大学,2014.
[6]Goodchild M F.Looking Forward Five Thoughts on the Future of GIS[EB/OL].2011.http://www.esri.com/news/arcwatch/0211/future of gis.html.
[7]陈引川.对城市地理标记语言(City GML)的探讨[J].测绘科学,2009,34(5):145-146.
[8]Kolbe T H,Grger G,Plumer L,City GML:Interoperable access to 3D city models[C]//Geo-information for disaster management.Springer Berlin Heidelberg,2005:883-899.
[9]Kolbe T H.Representing and exchanging 3D city models with City GML[C]//3D geo-information sciences.Springer Berlin Heidelberg,2009:15-31.
[10]building SMART,IFC4(Industrial Foundation Classes XML 4)RC4[EB/OL].http://www.buildingsmart-tech.org/specifications/ifcxml-releases/ifcxml4-release,2014.
[11]Kim,J.-S.,S.-J.Yoo,and K.-J.Li,Integrating Indoor GML and City GML for Indoor Space,in Web and Wireless Geographical Information Systems[C],D.Pfoser and K.-J.Li,Editors.2014,Springer Berlin Heidelberg.p.184-196.
[12]林雕,宋国民,贾奋励.面向位置服务的室内空间模型研究进展[J].导航定位学报,2014,2(4)17-26.
[13]张寅宝,张威巍,张欣.建筑物室内空间建模研究综述[J].地理信息世界,2014,21(5):7-12.
[14]Yang L,Worboys M.A navigation ontology for outdoorindoor space:(work-in-progress)[C]//Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness.ACM,2011:31-34.
[15]陈建军,周成虎,王敬贵.地理本体的研究进展与分析[J].地学前缘,2006,13(3):81-90.