Volume XL-4/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W5, 67-73, 2015
https://doi.org/10.5194/isprsarchives-XL-4-W5-67-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W5, 67-73, 2015
https://doi.org/10.5194/isprsarchives-XL-4-W5-67-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  11 May 2015

11 May 2015

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

C. Li1, X. Zhu1, W. Guo1, Y. Liu2, and H. Huang1 C. Li et al.
  • 1State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, 129 Luoyu Road, Wuhan, China
  • 2School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan, China

Keywords: Indoor Space; Ontology; Semantic Query; SPARQL, Indoor Spatial Relation

Abstract. 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.