Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Danielle Ziebelin"'
The development of Artificial Intelligence (AI), especially Machine Learning (ML) technology, has injected new vitality into the geospatial domain. Training Data (TD) plays a fundamental role in geospatial AI/ML. They are key items for training, vali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3b988c35f141f9952c9063d32fef836
https://doi.org/10.5194/egusphere-egu23-16998
https://doi.org/10.5194/egusphere-egu23-16998
Publikováno v:
A Parthood Approach for Modeling Tangible Objects’ Composition TOC-An Application on Cultural Heritage
A Parthood Approach for Modeling Tangible Objects’ Composition TOC-An Application on Cultural Heritage, 12124, pp.67-72, 2020, Lecture Notes in Computer Science, 978-3-030-62326-5. ⟨10.1007/978-3-030-62327-2_12⟩
The Semantic Web: ESWC 2020 Satellite Events ISBN: 9783030623265
ESWC (Satellite Events)
A Parthood Approach for Modeling Tangible Objects’ Composition TOC-An Application on Cultural Heritage, 12124, pp.67-72, 2020, Lecture Notes in Computer Science, 978-3-030-62326-5. ⟨10.1007/978-3-030-62327-2_12⟩
The Semantic Web: ESWC 2020 Satellite Events ISBN: 9783030623265
ESWC (Satellite Events)
International audience; Several semantic web approaches tackle the problem of integrating multidisciplinary rich content using Linked Open Data. Cultural heritage (CH) is a multidisciplinary domain that contains a massive heterogeneous content that v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e36e9b6f34d411ecd05d4fa3e317813c
https://hal.univ-grenoble-alpes.fr/hal-03091621
https://hal.univ-grenoble-alpes.fr/hal-03091621
Autor:
Philippe Genoud, Danielle Ziebelin
Publikováno v:
2018 International Workshop on Big Geospatial Data and Data Science (BGDDS).
It is still a problem for current information systems and modeling methods to make heterogeneous data sources interoperable and to link data sets obtained from a common territory by different experts (biologists, ecologists, geographers, hydrologists
Publikováno v:
Web and Wireless Geographical Information Systems ISBN: 9783319900520
W2GIS
Web and Wireless Geographical Information Systems W2GIS
Web and Wireless Geographical Information Systems W2GIS, Jun 2018, la corogne, Spain
W2GIS
Web and Wireless Geographical Information Systems W2GIS
Web and Wireless Geographical Information Systems W2GIS, Jun 2018, la corogne, Spain
The H2020 Mineral Intelligence Capacity Analysis (MICA) project is a collaboration between multiple geological surveys (BRGM, BGS, GEUS, GeoZS) in Europe; the European Raw Materials Intelligence Capacity Platform (EU-RMICP) enables the user to find i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c164148d5a9f8289c5e99e0d68d684d1
https://doi.org/10.1007/978-3-319-90053-7_15
https://doi.org/10.1007/978-3-319-90053-7_15
Publikováno v:
Environmental Modelling and Software
Environmental Modelling and Software, Elsevier, 2017, 96, pp.95-105. ⟨10.1016/j.envsoft.2017.06.051⟩
Environmental Modelling and Software, Elsevier, 2017, 96, pp.95-105. ⟨10.1016/j.envsoft.2017.06.051⟩
Integrated environmental modeling (IEM) provides a systematic way to couple models for integrated analysis. Coupled models in IEM often exchange data at runtime for time-step based executions. It is a challenge to track which raw observations or inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f513b8de7173d41b4b4ba957c6b8efb0
https://hal.archives-ouvertes.fr/hal-02084884
https://hal.archives-ouvertes.fr/hal-02084884
Publikováno v:
Web and Wireless Geographical Information Systems W2GIS
Web and Wireless Geographical Information Systems W2GIS, May 2017, Shanghai, China
Web and Wireless Geographical Information Systems ISBN: 9783319559971
W2GIS
Web and Wireless Geographical Information Systems W2GIS, May 2017, Shanghai, China
Web and Wireless Geographical Information Systems ISBN: 9783319559971
W2GIS
The Coordinated Online Information Network (COIN) is a spatial data infrastructure (SDI) which provides an online network of resources to share, use and integrate information of geographic locations in North Canada. COIN incorporates semantic web tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf440ca3c3126e960c6f2d2f7d954119
https://hal.archives-ouvertes.fr/hal-02064634
https://hal.archives-ouvertes.fr/hal-02064634
Publikováno v:
International Journal of Geographical Information Science
International Journal of Geographical Information Science, Taylor & Francis, 2010, 24 (11), pp.1601-1630
International Journal of Geographical Information Science, 2010, 24 (11), pp.1601-1630
International Journal of Geographical Information Science, Taylor & Francis, 2010, 24 (11), pp.1601-1630
International Journal of Geographical Information Science, 2010, 24 (11), pp.1601-1630
Geospatial clustering is an important topic in knowledge discovery research and geospatial information systems. However, current clustering research emphasizes the development of more efficient and effective clustering methods without paying much att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bae33e6211938f8d865c085933d9f1f
https://hal.inria.fr/hal-00953146
https://hal.inria.fr/hal-00953146
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783642018176
Canadian Conference on AI
Canadian Conference on AI, 2009, Kelowna, Canada. pp.215-218, ⟨10.1007/978-3-642-01818-3_27⟩
Canadian Conference on AI
Canadian Conference on AI, 2009, Kelowna, Canada. pp.215-218, ⟨10.1007/978-3-642-01818-3_27⟩
Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed recently. However, many users do not know how to choose the most suitabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::333a203df62ebece6fafddb176b9a3a4
https://doi.org/10.1007/978-3-642-01818-3_27
https://doi.org/10.1007/978-3-642-01818-3_27
Autor:
Danielle Ziebelin
Publikováno v:
SPIE Proceedings.
When a human being doesn't know how to solve a problem, one of the methods at his disposal consists in using problem-solving knowledge on easier problems. This knowledge can then serve as heuristics to guide the search for a solution to the original
Autor:
Ana-Maria Olteanu-Raimond, Paule-Annick Davoine, Mauro Gaio, Eric Gouarderes, Marie-Dominique van Damme, Marlène Villanova-Oliver, Mickaël Brasebin, Catherine Domingues, Cécile Duchêne, Olivier Favre, Sébastien Mustière, Florent Devin, Yannick Le Nir, Ludovic Moncla, Sylvain Bouveret, Philippe Genoud, Jérôme Gensel, Danielle Ziebelin
Publikováno v:
HAL
Spatial Analysis and GEOmatics 2017
Spatial Analysis and GEOmatics 2017, INSA de rouen, Nov 2017, Rouen, France
Spatial Analysis and GEOmatics 2017
Spatial Analysis and GEOmatics 2017, INSA de rouen, Nov 2017, Rouen, France
National audience; L'objectif de l'article est de présenter le projet ANR CHOUCAS qui ambitionne de proposer des méthodes et des outils pour constituer, enrichir, interroger et visualiser des données spatiales issues de sources hétérogènes, et
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::18fdcec0d65af082cd47d977e676eea9
https://hal.archives-ouvertes.fr/hal-01649156
https://hal.archives-ouvertes.fr/hal-01649156