Development of the Red Sea Biogeographic Information System
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
Marine studies, surveys, and observational activities are continuously generating new and diverse data, which are hard to keep track of with tables and spreadsheets. Integrated data and information management systems that collect, analyze, and combine data are needed in order to provide a comprehensive picture of marine environments under study. For these reasons, we started to develop the Red Sea Biogeographic Information System (RBIS) at King Abdullah University of Science and Technology (KAUST) as a web application utilizing the most updated Web 2.0 technologies. RBIS is designed to have an easily accessible interface that is able to host and display research activities conducted in the Red Sea. Its data model is designed to deal with any kind of marine data. For its data structure, RBIS is organizing the data into three main categories: biological data, physicochemical data, and human activities. Spatial distribution of these data is visualized on a Google-Maps mashup. Dynamic charts are used to visualize the statistics of the data. With these functionalities, data model, and data structure, RBIS is able to organize, visualize, and do instantly combined analyses of research data from the Red Sea.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
MACHDA, Fahmi, Noru ICHIM-MORENO, Chandra PRASETYO UTOMO, Christian R. VOOLSTRA, 2010. Development of the Red Sea Biogeographic Information System. OCEANS 2010 IEEE. Sydney, Australia, 24. Mai 2010 - 27. Mai 2010. In: OCEANS'10 IEEE SYDNEY. Piscataway, NJ: IEEE, 2010, 11595623. ISBN 978-1-4244-5221-7. Available under: doi: 10.1109/oceanssyd.2010.5603578BibTex
@inproceedings{Machda2010Devel-66712, year={2010}, doi={10.1109/oceanssyd.2010.5603578}, title={Development of the Red Sea Biogeographic Information System}, isbn={978-1-4244-5221-7}, publisher={IEEE}, address={Piscataway, NJ}, booktitle={OCEANS'10 IEEE SYDNEY}, author={Machda, Fahmi and Ichim-Moreno, Noru and Prasetyo Utomo, Chandra and Voolstra, Christian R.}, note={Article Number: 11595623} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/66712"> <dc:contributor>Machda, Fahmi</dc:contributor> <dcterms:abstract>Marine studies, surveys, and observational activities are continuously generating new and diverse data, which are hard to keep track of with tables and spreadsheets. Integrated data and information management systems that collect, analyze, and combine data are needed in order to provide a comprehensive picture of marine environments under study. For these reasons, we started to develop the Red Sea Biogeographic Information System (RBIS) at King Abdullah University of Science and Technology (KAUST) as a web application utilizing the most updated Web 2.0 technologies. RBIS is designed to have an easily accessible interface that is able to host and display research activities conducted in the Red Sea. Its data model is designed to deal with any kind of marine data. For its data structure, RBIS is organizing the data into three main categories: biological data, physicochemical data, and human activities. Spatial distribution of these data is visualized on a Google-Maps mashup. Dynamic charts are used to visualize the statistics of the data. With these functionalities, data model, and data structure, RBIS is able to organize, visualize, and do instantly combined analyses of research data from the Red Sea.</dcterms:abstract> <dc:creator>Machda, Fahmi</dc:creator> <dcterms:title>Development of the Red Sea Biogeographic Information System</dcterms:title> <dc:contributor>Prasetyo Utomo, Chandra</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-04-21T10:28:14Z</dcterms:available> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:creator>Voolstra, Christian R.</dc:creator> <dc:creator>Ichim-Moreno, Noru</dc:creator> <dc:contributor>Voolstra, Christian R.</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/66712"/> <dc:creator>Prasetyo Utomo, Chandra</dc:creator> <dcterms:issued>2010</dcterms:issued> <dc:language>eng</dc:language> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-04-21T10:28:14Z</dc:date> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/> <dc:contributor>Ichim-Moreno, Noru</dc:contributor> </rdf:Description> </rdf:RDF>