Transforming Meteorological Data into Linked Data: Case of the Black Sea Region

Year 2021, Volume: 2 Issue: 1, 47 - 58, 13.03.2021

Deniztan Ulutaş Karakol , Çetin Cömert

https://doi.org/10.48123/rsgis.869992

Cited By: 1

Abstract

Linked Open Data creation, which is a requirement of the semantic Web, is important for all public and private parties related with spatial and non-spatial data with the advantages of linked data technologies. Among these advantages are data being more discoverable, data sharing, increased reusability of data and preventing data duplication. It is necessary and important to transform meteorological data, which are used significantly in many areas such as geographical information systems, risk management, weather forecasts, modeling of air pollution, water resources, agriculture, air traffic and industry, into linked open data. In this study, the transformation of meteorological data into linked data was carried out with the case of the Black Sea region. RDF data was generated by referencing the meteorological station and observation data of the region with ontologies containing the relevant weather and meteorology concepts. Linked meteorological data were obtained by establishing links between the generated Meteorological RDF Data and DBpedia data set, which is an open linked data source. The automatically found link results with the Silk link editor show that the similarity values calculated between the meteorological data and the DBpedia data source are high.

Keywords

Linked Data, Meteorological Linked Data, RDF, Semantic Web, Ontology

Meteorolojik Verilerin Bağlantılı Veriye Dönüştürülmesi: Karadeniz Bölgesi Örneği

Abstract

Semantik Web’in gereği olan Bağlantılı Açık Veri üretimi, bağlantılı veri teknolojilerinin sağladığı avantajlar ile konumsal ve konumsal olmayan veri ile iş yapan bütün kamu ve özel kuruluşlar için önemlidir. Veriye daha kolay erişilebilmesi, veri paylaşımı, verinin kullanılabilirliğinin artması ve veri tekrarının önlenmesi bu avantajlar arasındadır. Coğrafi bilgi sistemleri, risk yönetimi, hava tahminleri ve hava kirliliğinin modellenmesi, su kaynakları, tarım, hava trafiği ve endüstri gibi birçok alanda önemli derecede kullanılan meteorolojik verilerin bağlantılı açık veriye dönüştürülmesi gerekli ve önemlidir. Bu çalışmada meteorolojik verilerin bağlantılı veriye dönüştürülmesi Karadeniz bölgesi örneği ile gerçekleştirilmiştir. Bölgeye ait meteorolojik istasyon ve gözlem verileri ilgili hava ve meteoroloji kavramlarını içeren ontolojilerle referanslandırılarak RDF verisi üretilmiştir. Üretilen Meteorolojik RDF Verisi ile bağlantılı açık veri kaynağı olan DBpedia veri seti arasında bağlantılar kurularak Bağlantılı Meteorolojik Veriler elde edilmiştir. Silk bağlantı editörü ile otomatik olarak bulunan bağlantı sonuçları, meteorolojik verilerle DBpedia veri kaynağı arasında hesaplanan benzerlik değerlerinin yüksek olduğunu göstermektedir.

Keywords

Bağlantılı Veri, Meteorolojik Bağlantılı Veri, RDF, Semantik Web, Ontoloji

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