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An Ontology Based Methodology for Satellite Data Semantic InteroperabilityABBURU, S.   , DUBE, N. , MIYAR, R. N. , GOLLA, S. B. |
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Author keywords
data, INSAT-3D, ontology, satellite, semantics
References keywords
link(16), data(10), ontology(9), semantic(7), science(5), insat(5), information(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2015-08-31
Volume 15, Issue 3, Year 2015, On page(s): 105 - 110
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.03015
Web of Science Accession Number: 000360171500015
SCOPUS ID: 84940730624
Abstract
Satellites and ocean based observing system consists of various sensors and configurations. These observing systems transmit data in heterogeneous file formats and heterogeneous vocabulary from various data centers. These data centers maintain a centralized data management system that disseminates the observations to various research communities. Currently, different data naming conventions are being used by existing observing systems, thus leading to semantic heterogeneity. In this work, sensor data interoperability and semantics of the data are being addressed through ontologies. The present work provides an effective technical solution to address semantic heterogeneity through semantic technologies. These technologies provide interoperability, capability to build knowledge base, and framework for semantic information retrieval by developing an effective concept vocabulary through domain ontologies. The paper aims at a new methodology to interlink the multidisciplinary and heterogeneous sensor data products. A four phase methodology has been implemented to address satellite data semantic interoperability. The paper concludes with the evaluation of the methodology by linking and interfacing multiple ontologies to arrive at ontology vocabulary for sensor observations. Data from Indian Meteorological satellite INSAT-3D satellite have been used as a typical example to illustrate the concepts. This work on similar lines can also be extended to other sensor observations. |
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[1] Semantic Integration of Raster Data for Earth Observation on Territorial Units, Tran, Ba-Huy, Aussenac-Gilles, Nathalie, Comparot, Catherine, Trojahn, Cassia, ISPRS International Journal of Geo-Information, ISSN 2220-9964, Issue 2, Volume 11, 2022.
Digital Object Identifier: 10.3390/ijgi11020149 [CrossRef]
[2] Ocean knowledge representation through integration of big data employing semantic web technologies, Velu, Anitha, Thangavelu, Menakadevi, Earth Science Informatics, ISSN 1865-0473, Issue 3, Volume 15, 2022.
Digital Object Identifier: 10.1007/s12145-022-00813-8 [CrossRef]
[3] Semantic Integration of Raster Data for Earth Observation: An RDF Dataset of Territorial Unit Versions with their Land Cover, Tran, Ba-Huy, Aussenac-Gilles, Nathalie, Comparot, Catherine, Trojahn, Cassia, ISPRS International Journal of Geo-Information, ISSN 2220-9964, Issue 9, Volume 9, 2020.
Digital Object Identifier: 10.3390/ijgi9090503 [CrossRef]
Updated 2 days, 23 hours ago
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
