Summary: The rapidly growing Traditional Web has transformed into a gigantic data set, which make it a place providing a heterogeneous environment. With the changes in quality expectation of users and improving technology, current knowledge representation techniques lagged behind these expectations. With the Semantic Web, which is a new version of the Traditional Web, and one of its component Linked Data create a platform where computers can understand and analyze data and only documents are not published. To be able to present data contained in data sources with semantic definitions on the web, Linked Data provides a set of design principles.
With Linked Data approach, the size of data in spatial field is increasing day by day. Thanks to be published spatial data as linked data, spatial data became queriable,and useable by other data sources. As a result of Semantic Web applications, data and concepts with the same meaning from different sources are semantically intermateable. In this thesis, a methodology is indicated for publishing spatial data as Linked Data, requirements are determined and the results are examined. In this concept, “Trabzon Administrative Borders” is used for application scenario. “Trabzon Administrative Units Ontology”, which is suitable for the dataset, is developed. “Trabzon Administrative Borders” dataset is adjusted to the ontology, published on the web as linked data and spatial queries are carried out.
Key Words: Traditional Web, Semantic Web, Linked Data, Spatial Data, RDF. |