Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Linked Geospatial Data"'
Publikováno v:
Open Research Europe, Vol 2 (2022)
Background: Geospatial linked data brings into the scope of the Semantic Web and its technologies, a wealth of datasets that combine semantically-rich descriptions of resources with their geo-location. There are, however, various Semantic Web technol
Externí odkaz:
https://doaj.org/article/61049ad08da3448daa02394d8ca56739
Publikováno v:
Open Research Europe
Background: Geospatial linked data brings into the scope of the Semantic Web and its technologies, a wealth of datasets that combine semantically-rich descriptions of resources with their geo-location. There are, however, various Semantic Web technol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59cb34d332c6a44e6a5a3484ae917830
https://doi.org/10.12688/openreseurope.14605.2
https://doi.org/10.12688/openreseurope.14605.2
Autor:
Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris, Daniele Marinelli, Giulio Weikmann, Lorenzo Bruzzone, Salman Khaleghian, Thomas Kraemer, Torbjorn Eltoft, Andrea Marinoni, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis, George Mandilaras, Manolis Koubarakis, Antonis Troumpoukis, Stasinos Konstantopoulos, Markus Muerth, Florian Appel, Andrew Fleming, Andreas Cziferszky
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9038-9063 (2021)
Bringing together a number of cutting-edge technologies that range from storing extremely large volumes of data all the way to developing scalable machine learning and deep learning algorithms in a distributed manner and having them operate over the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fa74d2c1e7877d60651eb7b1ca689983
https://hdl.handle.net/10037/24314
https://hdl.handle.net/10037/24314
Autor:
Koubarakis, Manolis, Stamoulis, George, Bilidas, Dimitris, Ioannidis, Theofilos, George Mandilaras, George, Pantazi, George, Papadakis, George, Vlassov, Vladimir, Payberah, Amir H., Wang, Tianze, Sheikholeslami, Sina, Haileselassie Hagos, Desta, Bruzzone, Lorenzo, Paris, Claudia, Weikmann, Giulio, Marinelli, Daniele, Eltoft, Torbjørn, Marinoni, Andrea, Kræmer, Thomas, Khaleghian, Salman, Ullah, Habib, Troumpoukis, Antonis, Kostopoulou, Nefeli Prokopaki, Konstantopoulos, Stasinos, Karkaletsis, Vangelis, Dowling, Jim, Kakantousis, Theofilos, Datcu, Mihai, Yao, Wei, Dumitru, Corneliu Octavian, Appel, Florian, Migdall, Silke, Muerth, Markus, Bach, Heike, Hughes, Nick, Everett, Alistair, Kiærbech, Ashild, Pedersen, Joakim Lillehaug, Arthurs, David, Fleming, Andrew, Cziferszky, Andreas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3432::87fbd0be57dbe20966ac518fe49f2c5d
http://hdl.handle.net/11572/330197
http://hdl.handle.net/11572/330197
Publikováno v:
Volume: 36, Issue: 2 228-237
Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi
Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi
İçeriğihızla büyüyen geleneksel web, devasa bir veri kümesine dönüşmüş, bu veri kümesiile heterojen bir ortam sunan bir hal almıştır. Gerek gelişen teknoloji gereksekullanıcıların zaman ve kalite beklentisinin değişmesi ile birl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::bc9a70eed0e0eab516d105c83894b090
https://dergipark.org.tr/tr/pub/erciyesfen/issue/56383/617279
https://dergipark.org.tr/tr/pub/erciyesfen/issue/56383/617279
The deliverable D3.1 is part of WP3 which objective is to develop a set of tools for querying, integration and extreme analytics for the big information and knowledge that will be mined from Copernicus data and other auxiliary data sources using the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06dce8a3cd9588dfb03a8cfd862d974b
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Proceedings of the 27th ACM International Conference on Information and Knowledge Management-CIKM 18
Proceedings of the 27th ACM International Conference on Information and Knowledge Management -CIKM '18
CIKM
Proceedings of the 27th ACM International Conference on Information and Knowledge Management -CIKM '18
CIKM
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35608a0dd232d172ef8a32f8c736c406
https://ir.cwi.nl/pub/28296
https://ir.cwi.nl/pub/28296
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.