Volume XL-7/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W2, 283-287, 2013
https://doi.org/10.5194/isprsarchives-XL-7-W2-283-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W2, 283-287, 2013
https://doi.org/10.5194/isprsarchives-XL-7-W2-283-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  29 Oct 2013

29 Oct 2013

An Interlinking Approach for Linked Geospatial Data

M. Zhang, J. Yuan, J. Gong, and P. Yue M. Zhang et al.
  • State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

Keywords: Interlinking approaches, Identity links, Geospatial data, Linking open data cloud, Tversky's contrast model

Abstract. Geospatial metadata from metadata catalogue can be published as part of Web of data used Linked Data technologies. The published data could be named as linked geospatial metadata. A key issue of Linked Data technologies is to create links among datasets. There are three important types of RDF links: relationship links, identity links, and vocabulary links. This paper proposes a matching method to construct linkages between linked geospatial metadata and geospatial datasets in the linking open data cloud (LOD). This matching method is based on semantic similarity to construct identity links. A matching algorithm using Tversky‘s contrast model and Jaro-Winkler distance is proposed and evaluated.