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
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