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

fYear

2014

fDate

3-5 June 2014

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Sciences (ICCOINS), 2014 International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4799-4391-3

Type

conf

DOI

10.1109/ICCOINS.2014.6868363

Filename

6868363