Semantic Approach for Geospatial Linked Data

Semantic Web utilizes different data model rather than relational data model. Tables are well-known for relational data bases while RDF represents data in a model based on directed graph and formed of the triple composition. Although some RDBMS offer storage of graph data but with respect to time and consumed resources، their query efficiency is not appropriate enough. On the other hand، another encountering challenge can be addressed as the interoperable and flexible representation of geospatial data in the Semantic Web standards. A variety of standards from different companies has been designed as a solution for handling the interoperability challenges. One should determine which spatial semantic standard is most appropriate for data of interest، each of which has advantages and disadvantages. This paper reviews standards for spatial semantic data storage and retrieval، moreover by considering the extent of usage، available technologies will be surveyed. Every technology follow specific standard and rather than complete conformance، the technology may support some sections of the standard. In the following، this paper reviews the procedure of establishment and implementation of a semantic Web system that benefit from the approach of spatial semantic data known as “linked geospatial data”. Moreover in the last section of the paper، important points and necessities of each implementation step will be covered.