An RDF model for meteorological and oceanographic information systems

Danyaro, K.U. and Jaafar, J. and Liew, M.S. (2012) An RDF model for meteorological and oceanographic information systems. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

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. © 2012 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 0; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334
Uncontrolled Keywords: Data representations; Data retrieval; Distributed data; Effective management; Information overloads; Knowledge model; Metocean; Oceanographic informations; Query methods; RDF model; Resource description framework; Structured data, Information science; Semantic Web, Technology
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:51
Last Modified: 09 Nov 2023 15:51
URI: https://khub.utp.edu.my/scholars/id/eprint/2815

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