Indexing for Moving Objects in Multi-Floor Indoor Spaces That Supports Complex Semantic Queries

	Indexing for Moving Objects in Multi-Floor Indoor Spaces That Supports Complex Semantic Queries
	Lin, Hui 1; Peng, Ling 1; Chen, Si 1; Liu, Tianyue 1; Chi, Tianhe 1
刊名	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
	2016
卷号	5 期号:10
关键词	SOLAR-RADIATION MODEL VIRTUAL-REALITY LIDAR DATA NAVIGATION IMAGERY STATE ART
通讯作者	Lin, H ; Peng, L (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, CAS Olymp S&T Pk,20 Datun Rd,POB 9718, Beijing 100101, Peoples R China. ; Lin, H ; Peng, L (reprint author), Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China.
英文摘要	With the emergence of various types of indoor positioning technologies (e.g., radio-frequency identification, Wi-Fi, and iBeacon), how to rapidly retrieve indoor cells and moving objects has become a key factor that limits those indoor applications. Euclidean distance-based indexing techniques for outdoor moving objects cannot be used in indoor spaces due to the existence of indoor obstructions (e.g., walls). In addition, currently, the indexing of indoor moving objects is mainly based on space-related query and less frequently on semantic query. To address these two issues, the present study proposes a multi-floor adjacency cell and semantic-based index (MACSI). By integrating the indoor cellular space with the semantic space, the MACSI subdivides open cells (e.g., hallways and lobbies) using space syntax and optimizes the adjacency distances between three-dimensionally connected cells (e.g., elevators and stairs) based on the caloric cost that extends single floor indoor space to three dimensional indoor space. Moreover, based on the needs of semantic query, this study also proposes a multi-granularity indoor semantic hierarchy tree and establishes semantic trajectories. Extensive simulation and real-data experiments show thatcompared with the indoor trajectories delta tree (ITD-tree) and the semantic-based index (SI)the MACSI produces more reliable query results with significantly higher semantic query and update efficiencies; has superior semantic expansion capability; and supports multi-granularity complex semantic queries.
学科主题	Physical Geography; Remote Sensing
类目[WOS]	Geography, Physical ; Remote Sensing
收录类别	SCI
语种	英语
WOS记录号	WOS:000387885900011
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39393]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, CAS Olymp S&T Pk,20 Datun Rd,POB 9718, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China 3.Univ Massachusetts, Dept Comp Sci, Boston, MA 02125 USA 4.Beijing Jinghang Computat & Commun Res Inst, Beijing 100074, Peoples R China
推荐引用方式 GB/T 7714	Lin, Hui,Peng, Ling,Chen, Si,et al. Indexing for Moving Objects in Multi-Floor Indoor Spaces That Supports Complex Semantic Queries[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2016,5(10).
APA	Lin, Hui,Peng, Ling,Chen, Si,Liu, Tianyue,&Chi, Tianhe.(2016).Indexing for Moving Objects in Multi-Floor Indoor Spaces That Supports Complex Semantic Queries.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,5(10).
MLA	Lin, Hui,et al."Indexing for Moving Objects in Multi-Floor Indoor Spaces That Supports Complex Semantic Queries".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 5.10(2016).