際際滷shows by User: rapw3k1 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: rapw3k1 / Fri, 20 Jan 2023 09:35:18 GMT 際際滷Share feed for 際際滷shows by User: rapw3k1 Building Knowledge Graphs for the Agri-Food sector /slideshow/building-knowledge-graphs-for-the-agrifood-sector/255425171 agri-food-knowledge-graphs-psnc-230120093519-324c3f18
Building Knowledge Graphs for the Agri-Food sector]]>
Building Knowledge Graphs for the Agri-Food sector]]> Fri, 20 Jan 2023 09:35:18 GMT /slideshow/building-knowledge-graphs-for-the-agrifood-sector/255425171 rapw3k1@slideshare.net(rapw3k1) Building Knowledge Graphs for the Agri-Food sector rapw3k1 Building Knowledge Graphs for the Agri-Food sector <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/agri-food-knowledge-graphs-psnc-230120093519-324c3f18-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Building Knowledge Graphs for the Agri-Food sector
Building Knowledge Graphs for the Agri-Food sector from Raul Palma
]]> 86 0 https://cdn.slidesharecdn.com/ss_thumbnails/agri-food-knowledge-graphs-psnc-230120093519-324c3f18-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Linked data publication pipelines for agri-related use cases /slideshow/linked-data-publication-pipelines-for-agrirelated-use-cases/147759858 lod-leipzig-190527131650
Presntation of pipelines developed in databio project for linked data generation with focus on agri-related use cases]]>
Presntation of pipelines developed in databio project for linked data generation with focus on agri-related use cases]]> Mon, 27 May 2019 13:16:50 GMT /slideshow/linked-data-publication-pipelines-for-agrirelated-use-cases/147759858 rapw3k1@slideshare.net(rapw3k1) Linked data publication pipelines for agri-related use cases rapw3k1 Presntation of pipelines developed in databio project for linked data generation with focus on agri-related use cases <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lod-leipzig-190527131650-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presntation of pipelines developed in databio project for linked data generation with focus on agri-related use cases
Linked data publication pipelines for agri-related use cases from Raul Palma
]]> 36 1 https://cdn.slidesharecdn.com/ss_thumbnails/lod-leipzig-190527131650-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Supporting the research lifecycle of geo-GSNL initiative through HPC and Research Objects /slideshow/supporting-the-research-lifecycle-of-geogsnl-initiative-through-hpc-and-research-objects/147759815 14-190527131555
Volcanic eruptions are among the most spectacular and dangerous phenomena on Earth, capable of generating disasters at various scales. The Geohazard Supersites and Natural Laboratories initiatives (GSNL) today is a network of 11 Supersites, including volcanoes and seismic areas. Complex algorithms are used to analyse these data and important information on the volcano activity. In addition to computing power and resources, researchers from the geo-gnsl community, as many other data-intensive science communities, are calling for innovative ways to manage their data, methods and other resources, which can enhance the visibility of scientific breakthroughs, encourage reuse, and foster a broader research accessibility. In this contribution we present the results of EVER-EST project (H2020-EINFRA-2015-1), in which we created in collaboration with different partners a virtual research environment (VRE) for Earth Science (https://vre.ever-est.eu/), embracing the research object concept and technologies at its core.]]>
Volcanic eruptions are among the most spectacular and dangerous phenomena on Earth, capable of generating disasters at various scales. The Geohazard Supersites and Natural Laboratories initiatives (GSNL) today is a network of 11 Supersites, including volcanoes and seismic areas. Complex algorithms are used to analyse these data and important information on the volcano activity. In addition to computing power and resources, researchers from the geo-gnsl community, as many other data-intensive science communities, are calling for innovative ways to manage their data, methods and other resources, which can enhance the visibility of scientific breakthroughs, encourage reuse, and foster a broader research accessibility. In this contribution we present the results of EVER-EST project (H2020-EINFRA-2015-1), in which we created in collaboration with different partners a virtual research environment (VRE) for Earth Science (https://vre.ever-est.eu/), embracing the research object concept and technologies at its core.]]> Mon, 27 May 2019 13:15:55 GMT /slideshow/supporting-the-research-lifecycle-of-geogsnl-initiative-through-hpc-and-research-objects/147759815 rapw3k1@slideshare.net(rapw3k1) Supporting the research lifecycle of geo-GSNL initiative through HPC and Research Objects rapw3k1 Volcanic eruptions are among the most spectacular and dangerous phenomena on Earth, capable of generating disasters at various scales. The Geohazard Supersites and Natural Laboratories initiatives (GSNL) today is a network of 11 Supersites, including volcanoes and seismic areas. Complex algorithms are used to analyse these data and important information on the volcano activity. In addition to computing power and resources, researchers from the geo-gnsl community, as many other data-intensive science communities, are calling for innovative ways to manage their data, methods and other resources, which can enhance the visibility of scientific breakthroughs, encourage reuse, and foster a broader research accessibility. In this contribution we present the results of EVER-EST project (H2020-EINFRA-2015-1), in which we created in collaboration with different partners a virtual research environment (VRE) for Earth Science (https://vre.ever-est.eu/), embracing the research object concept and technologies at its core. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/14-190527131555-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Volcanic eruptions are among the most spectacular and dangerous phenomena on Earth, capable of generating disasters at various scales. The Geohazard Supersites and Natural Laboratories initiatives (GSNL) today is a network of 11 Supersites, including volcanoes and seismic areas. Complex algorithms are used to analyse these data and important information on the volcano activity. In addition to computing power and resources, researchers from the geo-gnsl community, as many other data-intensive science communities, are calling for innovative ways to manage their data, methods and other resources, which can enhance the visibility of scientific breakthroughs, encourage reuse, and foster a broader research accessibility. In this contribution we present the results of EVER-EST project (H2020-EINFRA-2015-1), in which we created in collaboration with different partners a virtual research environment (VRE) for Earth Science (https://vre.ever-est.eu/), embracing the research object concept and technologies at its core.
Supporting the research lifecycle of geo-GSNL initiative through HPC and Research Objects from Raul Palma
]]> 27 1 https://cdn.slidesharecdn.com/ss_thumbnails/14-190527131555-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-rapw3k1-48x48.jpg?cb=1726659060 https://cdn.slidesharecdn.com/ss_thumbnails/agri-food-knowledge-graphs-psnc-230120093519-324c3f18-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/building-knowledge-graphs-for-the-agrifood-sector/255425171 Building Knowledge Gra... https://cdn.slidesharecdn.com/ss_thumbnails/lod-leipzig-190527131650-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/linked-data-publication-pipelines-for-agrirelated-use-cases/147759858 Linked data publicatio... https://cdn.slidesharecdn.com/ss_thumbnails/14-190527131555-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/supporting-the-research-lifecycle-of-geogsnl-initiative-through-hpc-and-research-objects/147759815 Supporting the researc...