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Integrating GIS with Linked Data

Adam Iwaniak, Iwona Kaczmarek and Marek Strzelecki

(Submission #423)


Integration of spatial data coming from public registries with web resources is today one of the key research topic in last years. Rich web resources can enrich spatial data as well as improve the process of updating and checking their quality . They are also a chance for new applications and new business models. Experience acquired in the process of INSPIRE implementation indicates that the use of GML in the process of spatial data integration is difficult and ineffective. The advent of World Wide Web brought the emergence of new solutions for data integration , exchange and sharing including; more recently, standards proposed by the W3C for data exchange involving Semantic Web technologies and linked data. Despite the growing popularity of RDF model for data representation, GIS and semantic web are still two separate technologies. At the same time, both approaches offer complementary ways of representing real world phenomena and means of analysis using different processing functions. The complementarity of linked data and GIS can be leveraged to synergize both approaches resulting in richer data content and more powerful inferencing. [AI1] Authors present an approach aimed at integrating these two approaches. It relies on the use of GIS tools and Semantic Components software developed by the authors which uses RDF model to represent data. It allows for integration, verification and enrichment of spatial data and linked data.


Topic Area:  [2.2] Technologies and tools required to deliver INSPIRE
Abstract Type:  Oral Presentation

Additional fields

Comments:   linked data; Semantic Web; integration; geospatial information

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