Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B2, 179-184, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B2-179-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
01 Aug 2012
CARDINAL DIRECTION RELATIONS QUERY MODELING BASED ON GEO-ONTOLOGY
X. Zhu1, D. Chen1, C. Zhou2, M. Li1, and W. Xiao3 1State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, P.R.China
2Navigation College, Wuhan University of Technology, 122 Luoshi Road, Wuhan 430063, P.R.China
3C4ISR Technology National Defense Science and Technology Key Lab, National University of Defense Technology, Changsha 410073, P.R.China
Keywords: Direction relations, Query Model, Digital gazetteer, Spatial reasoning Abstract. Direction relations, as an important spatial relationship, is simply expressed as object prosperity in traditional geo-ontology. The lacking of explicit specifications and reasoning rules of direction relations in geo-ontology result in the difficult or inflexible of spatial reasoning. Also, digital gazetteers provide information on named features, linking the feature's name with its location and its type. Although the location information is incomplete and not exact, the implicit spatial information, for example spatial relationships and spatial scale, can be extract using the appropriate models based on geo-ontology. In this paper, we proposed a novel conceptual framework of direction relations in order to formalize the semantics and implicit information of direction relations, and present an extraction algorithm of implicit information based on previous researches, which will produce a complete query instance of direction relations. At last, the most suitable direction physical model is recommended to calculation module according to relevant rules. And the experimental results show that this direction query model not only extracted the implicit information effectively, but also made a reasonable interpretation for the user's intention.
Conference paper (PDF, 740 KB)


Citation: Zhu, X., Chen, D., Zhou, C., Li, M., and Xiao, W.: CARDINAL DIRECTION RELATIONS QUERY MODELING BASED ON GEO-ONTOLOGY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B2, 179-184, https://doi.org/10.5194/isprsarchives-XXXIX-B2-179-2012, 2012.

BibTeX EndNote Reference Manager XML