Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Kostis Kyzirakos"'
Autor:
Raúl García-Castro, Kostis Kyzirakos, Asunción Gómez-Pérez, Manolis Koubarakis, David De Roure, Kirk Martinez, Oscar Corcho, Alvaro A. A. Fernandes, Alex Frazer, Ixent Galpin, Kevin Page, Jean-Paul Calbimonte, Manos Karpathiotakis, Norman W. Paton, Oles Kit, Jason Sadler, Alasdair J. G. Gray
Publikováno v:
Sensors, Vol 11, Iss 9, Pp 8855-8887 (2011)
Sensing devices are increasingly being deployed to monitor the physical world around us. One class of application for which sensor data is pertinent is environmental decision support systems, e.g., flood emergency response. For these applications, th
Externí odkaz:
https://doaj.org/article/10b4f85eb38e482daf096eded836f8a4
Publikováno v:
Journal on Data Semantics
Geospatial extensions of SPARQL, like GeoSPARQL and stSPARQL, have been defined since 2007 and while several geospatial RDF stores have implemented a substantial part of these extensions, other stores limited their support mostly on point geometry fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b485b798f98cb2cc7a1e03673fdfad56
https://doi.org/10.1007/s13740-021-00118-x
https://doi.org/10.1007/s13740-021-00118-x
Autor:
Kostis Kyzirakos, Alexandros Vasileiou, Stefan Manegold, Dimitrianos Savva, Manolis Koubarakis, Ioannis Vlachopoulos, Nikolaos Karalis
Publikováno v:
Journal of Web Semantics, 52-53, 16-32
A lot of geospatial data has become available at no charge in many countries recently. Geospatial data that is currently made available by government agencies usually do not follow the linked data paradigm. In the few cases where government agencies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::959a67191853dd0ab0b400ef1e3d08e4
https://doi.org/10.1016/j.websem.2018.08.003
https://doi.org/10.1016/j.websem.2018.08.003
Autor:
Kostis Kyzirakos, Panagiotis Koutsourakis, Ben van Werkhoven, Foteini Alvanaki, Willem van Hage, Romulo Goncalves, Tom van Tilburg
Publikováno v:
SIGSPATIAL/GIS
3D digital city models, important for urban planning, are currently constructed from massive point clouds obtained through airborne LiDAR (Light Detection and Ranging). They are semantically enriched with information obtained from auxiliary GIS data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d18da845e7eb79ed301152a54ed4f71
https://doi.org/10.1145/2996913.2997005
https://doi.org/10.1145/2996913.2997005
Autor:
Foteini Alvanaki, Willem van Hage, Kostis Kyzirakos, Sisi Zlatanova, Pirouz Nourian, Romulo Goncalves
Publikováno v:
eScience
Proceedings of the 2016 IEEE 12th International Conference on e-Science
Proceedings of the 2016 IEEE 12th International Conference on e-Science
3D digital city models form the basis for flow simulations (e.g. wind flow and water runoff), urban planning, underand over- ground formation analysis, and they are very important for automated anomaly detection on man made structures. They consist o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b06a939e52a0c9671e005fc9204833d5
https://doi.org/10.1109/escience.2016.7870929
https://doi.org/10.1109/escience.2016.7870929
Autor:
Stella Giannakopoulou, Dimitrianos Savva, Kostis Kyzirakos, Manolis Koubarakis, Charalampos Nikolaou, Konstantina Bereta, Themistocles Herekakis, Roi Dogani, Charalampos Kontoes, Giannis Vlachopoulos, Panayiotis Smeros, George Garbis, Stefan Manegold, George Stamoulis, Dimitrios Michail, Ioannis Papoutsis
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine, 4(3), 23-27
Big, open Earth Observation data that are currently made available by space agencies are not following the linked data paradigm. Therefore, from the perspective of a user, the Earth Observation data and other kinds of geospatial data necessary to sat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74b516cc1b980aa10732733672fd1cc1
https://doi.org/10.1109/mgrs.2016.2530410
https://doi.org/10.1109/mgrs.2016.2530410
Autor:
Raúl García-Castro, Alasdair J. G. Gray, Alex Frazer, Norman W. Paton, Jason Sadler, Jean-Paul Calbimonte, Ixent Galpin, Kostis Kyzirakos, Manos Karpathiotakis, David De Roure, Kevin R. Page, Asunción Gómez-Pérez, Oles Kit, Oscar Corcho, Manolis Koubarakis, Alvaro A. A. Fernandes, Kirk Martinez
Publikováno v:
Sensors; Volume 11; Issue 9; Pages: 8855-8887
Sensors, ISSN 1424-8220, 2011-09-14, Vol. 11, No. 9
Archivo Digital UPM
Universidad Politécnica de Madrid
Sensors (Basel, Switzerland)
Sensors, Vol 11, Iss 9, Pp 8855-8887 (2011)
Sensors, ISSN 1424-8220, 2011-09-14, Vol. 11, No. 9
Archivo Digital UPM
Universidad Politécnica de Madrid
Sensors (Basel, Switzerland)
Sensors, Vol 11, Iss 9, Pp 8855-8887 (2011)
Sensing devices are increasingly being deployed to monitor the physical world around us. One class of application for which sensor data is pertinent is environmental decision support systems, e.g., flood emergency response. For these applications, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c9579444487de11c8614c8adeb9a61d
https://doi.org/10.3390/s110908855
https://doi.org/10.3390/s110908855
Publikováno v:
DaMoN
Proceedings of the 12th International Workshop on Data Management on New Hardware: San Francisco, CA, USA : June 26-July 01, 2016
Proceedings of the 12th International Workshop on Data Management on New Hardware
Proceedings of the 12th International Workshop on Data Management on New Hardware: San Francisco, CA, USA : June 26-July 01, 2016
Proceedings of the 12th International Workshop on Data Management on New Hardware
LIDAR is a popular remote sensing method used to examine the surface of the Earth. LIDAR instruments use light in the form of a pulsed laser to measure ranges (variable distances) and generate vast amounts of precise three dimensional point data desc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbd510e038edfba406ac0ef208877cec
https://ir.cwi.nl/pub/28059
https://ir.cwi.nl/pub/28059
The Copernicus program will produce a sizable stream of remote sensor data, which when combined with ground sensor systems provides a fertile soil to explain the past and predict the future of Planet Earth’s health. The sheer size and data complexi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38ff961d42c4966016f953a9a83adf48
Autor:
Jason Maassen, O. Martinez-Rubi, Milena Ivanova, Foteini Alvanaki, Kostis Kyzirakos, Hannes Mühleisen, Romulo Goncalves
Publikováno v:
e-Science
Earth observation sciences produce large sets of data which are inherently rich in spatial and geo-spatial information. Together with live data collected from monitoring systems and large collections of semantically rich objects they provide new oppo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ffb150fc9021d8edc4847cdefeac7f3
https://ir.cwi.nl/pub/23448
https://ir.cwi.nl/pub/23448