Abstract
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.
Highlights
The term Linked Data refers to a set of best practices for publishing and connecting structured data on the Web (Bizer, 2009)
This paper proposes a method based on semantic similarity to construct identity links between linked geospatial data
This paper proposes a matching method based on semantic similarity to construct the identity links
Summary
The term Linked Data refers to a set of best practices for publishing and connecting structured data on the Web (Bizer, 2009). The interlinking of Linked Data is an important factor for the success of the Semantic Web. Researchers have done a lot of work to publish data-sets in RDF on the Web according to the principles of Linked Data. These datasets are interlinked with each other. This paper proposes a method based on semantic similarity to construct identity links between linked geospatial data. This method is based on Tversky‘s contrast model (Tversky, 1997), which determines semantic similarity by comparing properties of two different instances.
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