DocumentCode :
568810
Title :
An RDF model for meteorological and oceanographic information systems
Author :
Danyaro, K.U. ; Jaafar, Jafreezal ; Liew, M.S.
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. Teknol. PETRONAS, Tronoh, Malaysia
Volume :
1
fYear :
2012
fDate :
12-14 June 2012
Firstpage :
480
Lastpage :
484
Abstract :
This paper suggests an RDF Model for effective management of distributed data on the Semantic Web. Resource Description Framework (RDF) is a data model that unifies aptly structured data. The Web is facing great challenge in data retrieval due to the increase and request of information from different sources. This brings the problem of information overload. In minimizing this problem, we provide a knowledge model for structuring data which is the first step of building Semantic Web. In particular, to elucidate the model, Meteorological and Oceanographic (MetOcean) data have been used. We present the result using SPARQL query method. Thus, the finding shows that the model is ideal for querying and data representation of distributed data.
Keywords :
data structures; geophysics computing; information retrieval; information systems; meteorology; oceanography; semantic Web; MetOcean data; Meteorological and Oceanographic; RDF model; SPARQL query method; data model; data representation; distributed data querying; meteorological information systems; oceanographic information systems; resource description framework; semantic Web; structured data; Computers; Information science; MetOcean; RDF Model; Resource Description Framework (RDF); Semantic Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer & Information Science (ICCIS), 2012 International Conference on
Conference_Location :
Kuala Lumpeu
Print_ISBN :
978-1-4673-1937-9
Type :
conf
DOI :
10.1109/ICCISci.2012.6297293
Filename :
6297293
Link To Document :
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