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Research on Extension of Sparql Ontology Query Language Considering the Computation of Indoor Spatial Relations : Volume Xl-4/W5, Issue 1 (11/05/2015)

By Li, C.

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Book Id: WPLBN0004015168
Format Type: PDF Article :
File Size: Pages 7
Reproduction Date: 2015

Title: Research on Extension of Sparql Ontology Query Language Considering the Computation of Indoor Spatial Relations : Volume Xl-4/W5, Issue 1 (11/05/2015)  
Author: Li, C.
Volume: Vol. XL-4/W5, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus Publications
Historic
Publication Date:
2015
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Guo, W., Liu, Y., Zhu, X., Huang, H., & Li, C. (2015). Research on Extension of Sparql Ontology Query Language Considering the Computation of Indoor Spatial Relations : Volume Xl-4/W5, Issue 1 (11/05/2015). Retrieved from http://www.worldlibrary.in/


Description
Description: State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, 129 Luoyu Road, Wuhan, China. A method suitable for indoor complex semantic query considering the computation of indoor spatial relations is provided According to the characteristics of indoor space. This paper designs ontology model describing the space related information of humans, events and Indoor space objects (e.g. Storey and Room) as well as their relations to meet the indoor semantic query. The ontology concepts are used in IndoorSPARQL query language which extends SPARQL syntax for representing and querying indoor space. And four types specific primitives for indoor query, Adjacent, Opposite, Vertical and Contain, are defined as query functions in IndoorSPARQL used to support quantitative spatial computations. Also a method is proposed to analysis the query language. Finally this paper adopts this method to realize indoor semantic query on the study area through constructing the ontology model for the study building. The experimental results show that the method proposed in this paper can effectively support complex indoor space semantic query.

Summary
RESEARCH ON EXTENSION OF SPARQL ONTOLOGY QUERY LANGUAGE CONSIDERING THE COMPUTATION OF INDOOR SPATIAL RELATIONS

 

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