Title :
MetOcean data to linked data
Author :
Danyaro, Kamaluddeen Usman ; Jaafar, Jafreezal ; Liew, M.S.
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. Teknol. Petronas, Tronoh, Malaysia
Abstract :
This paper describes the Linked Data initiative in meteorological environment. MetOcean data are meteorological and oceanographic datasets that provide information to meteorological industries, petroleum industries as well as research institutes. The MetOcean has a myriad of data and scattered along the globe which lack Linked Data or Semantic Web capabilities. Linked Data is a concept of publishing interoperable data globally. As a way of integrating MetOcean data, this work used D2R server, a server that manages data sources and translates it to Web data. Therefore, the paper elucidates the process of developing Linked Data in Meteorological sector. Also, the results were queried using SPARQL endpoint as a graph. This approach was analyzed using F-measure which reveals the system is sufficient for querying and accessing the data as a graph.
Keywords :
file servers; geophysics computing; graph theory; meteorology; oceanography; open systems; semantic Web; D2R server; F-measure; MetOcean data; SPARQL endpoint; graph; interoperable data; linked data; meteorological datasets; meteorological environment; meteorological industries; oceanographic datasets; petroleum industries; semantic Web capabilities; Data models; Relational databases; Resource description framework; Servers; XML; D2R server; Linked Data; MetOcean; SPARQL Query;
Conference_Titel :
Computer and Information Sciences (ICCOINS), 2014 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-4391-3
DOI :
10.1109/ICCOINS.2014.6868363