Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAiyI0xKOWbAKoZ1xzjphmaCjyTU-1838Yc4dSn1WBtiE/assertion>. }
- RAVgqppDFnLwV3SgHcGS0cv2MOedMKbMlNGvLmvuTttjI type WebService assertion.
- 2a889d82-5b8c-48c2-820b-e8da468d64bf type ResearchObject assertion.
- 2a889d82-5b8c-48c2-820b-e8da468d64bf type LiveRO assertion.
- 60975f3a-19d1-496c-a42e-abd15bed30af type Domain assertion.
- b9fe016c-022d-46b5-b5eb-ff8a7b543da1 type Domain assertion.
- 4f625a72-9105-4dd6-b8c8-fd24efc9cc30 type Lemma assertion.
- 76cc5d72-76f6-4d76-a935-38cd30670a0c type Lemma assertion.
- da729688-5db0-44dc-bf08-1fd5c0396785 type Lemma assertion.
- eaaff5c6-e443-498c-ad08-782ed44d4b7a type Lemma assertion.
- fef078a6-5999-4731-b2fb-6f2ce1d17db5 type Lemma assertion.
- RAVgqppDFnLwV3SgHcGS0cv2MOedMKbMlNGvLmvuTttjI type Resource assertion.
- 28af7903-9fca-4b1d-8ebe-17ae684caeef type Concept assertion.
- 47bfaee5-3469-45f7-8956-a88ba7796fd7 type Concept assertion.
- 54b184d5-7473-4383-8fea-ba7786d574bf type Concept assertion.
- 5be154ae-5715-4f9b-9156-43a247e34726 type Concept assertion.
- 894fc25b-7227-4c46-a2c9-0cd6d8a2922f type Concept assertion.
- daa0da56-fbf0-4f8d-82b0-158888a06a3e type Concept assertion.
- e78f1886-9bbf-448f-a101-f50d5d4918f1 type Concept assertion.
- f331a916-dbb9-4a95-a919-4f9812b96166 type Concept assertion.
- 657c24df-30af-4109-a399-59fe1702d449 type FieldOfResearch assertion.
- 6931c5f2-ee3a-4ebd-961c-458393680985 type FieldOfResearch assertion.
- 139ae495-9daf-4212-a150-6453b70b2d12 type IPTC assertion.
- 1a2154e6-f051-4d53-95d0-385739f60c6c type IPTC assertion.
- c76057e8-634f-4ce0-9b43-a8078c13312e type IPTC assertion.
- cf78dcaf-5448-4bc5-94d9-2f4ff9f7e964 type IPTC assertion.
- f428e1b8-7c31-428b-80fe-7b02e33bfc32 type IPTC assertion.
- b4e8933b-ff6e-4bde-8702-1556872f93fc type NASA assertion.
- c43d7965-a47b-49a1-a806-ba75c442480d type NASA assertion.
- 02241db2-73a9-4f91-8abe-5df7cb1a1030 type Phrase assertion.
- 07767e50-0a55-4034-8178-4fc866a540a6 type Phrase assertion.
- 13203e6c-c28b-4cfd-9e93-33137ac15c29 type Phrase assertion.
- 20e787a2-948e-41fe-a9ed-68320a53d448 type Phrase assertion.
- 4659ea82-123b-42f8-9f89-0b4369d9f3a3 type Phrase assertion.
- b7057f82-5700-4f6e-84dc-b996548f9caf type Phrase assertion.
- c4e6b662-c7be-4477-ba1e-351d9867d17f type Phrase assertion.
- 5427676a-b13b-4473-a576-6bb5bba53222 type Sentence assertion.
- 6007e69e-2a49-4766-bcaa-73a1aadd75b2 type Sentence assertion.
- 6f16b053-4fa0-4583-8985-ac3f3419a68f type Sentence assertion.
- 3949 type DefinedTerm assertion.
- 00k4n6c32::101188256 type Grant assertion.
- ro-crate-metadata.json type CreativeWork assertion.
- 2a889d82-5b8c-48c2-820b-e8da468d64bf type Dataset assertion.
- RAVgqppDFnLwV3SgHcGS0cv2MOedMKbMlNGvLmvuTttjI type MediaObject assertion.
- 3b03b6df-8a57-4d48-a1be-acfdce46cae4 type Organization assertion.
- 3305e51c-33ff-4259-9a33-35e2bf4a385e type community assertion.
- 0000-0003-2195-3997 type Agent assertion.
- 0000-0002-1784-2920 type Agent assertion.
- 3949 description "" assertion.
- RAVgqppDFnLwV3SgHcGS0cv2MOedMKbMlNGvLmvuTttjI description "FAIR Implementation Profile for the weADAPT platform." assertion.
- 2a889d82-5b8c-48c2-820b-e8da468d64bf description "# Case Study for extending weADAPT and the Climate Connectivity Hub This case study is divided in two sub cases: 1. Connecting the CCA knowledge landscape through weADAPT 2. Connecting and visualising the CCA knowledge landscape through the Climate Connectivity Hub ## 1st sub-case study: Connecting the CCA knowledge landscape through weADAPT ### Vision & Ambitions The goals and tasks of this case study look as follows: 1) Improve weADAPT to support communities, planners, practitioners, students, researchers and policymakers in accessing and sharing climate-resilient adaptation information and strategies that inform local, national, regional, and global policy processes. 2) Break down silos and avoid redundancy, replication, and wasted resources while promoting collaboration, dialogue, and learning, by harnessing the wealth of existing knowledge across various portals, platforms, and publications, and providing guidance on how to connect this knowledge together. 3) Integrate weADAPT in EOSC. Ensure that climate adaptation knowledge is accessible within EOSC, increasing its usability for a broad range of stakeholders. ### Description Users cannot quickly and easily find information, which impedes communication, coordination and collaboration. Knowledge is increasingly online, but fragmented, unstructured and siloed so users find it hard to search and discover information that they may not know exists. weADAPT is a global online knowledge-sharing platform designed to improve access to climate adaptation information, widely used amongst researchers, practitioners and decision-makers. Knowledge on the platform is organized around +25 themes and networks, and the platform also uses keywords to enhance discoverability. This project aims to make climate adaptation knowledge more accessible, discoverable, and usable by developing improved taxonomies and knowledge graphs. We hope it will also improve communication and collaboration between different stakeholders. The project will involve extracting, curating and making climate and non-climate information available. Key sources include climate data, socio-economic scenarios, case studies, adaptation measures, among others) from popular knowledge portals, platforms and publications, all of which are necessary to support the development and implementation of adaptation planning. ### FAIR2Adapt Contribution As part of this F2A case study, we will use AI to analyse the harvested content and automatically construct taxonomies and knowledge graphs.These tool will: - Ensure resources are well-described to be more discoverable on weADAPT; - Facilitatie more intuitive and accessible navigation of climate knowledge on the platform; - Support the development of a a glossary with clearly defined terms. ### Lead Partner SEI ### External Stakeholders involved in CCA Knowledge producers, decision- and policy-makers, knowledge brokers, governmental agencies, citizens. ## 2nd sub-case study: Connecting and visualising the CCA knowledge landscape through the Climate Connectivity Hub ### Vision & Ambitions The goals and tasks of this case study look as follows: 1) Improve the Connectivity Hub to support communities, planners, practitioners, students, researchers and policymakers in accessing and sharing climate-resilient adaptation strategies that inform local, national, regional, and global policy processes. 2) Break down silos and avoid redundancy, replication, and wasted resources while promoting collaboration, dialogue, and learning, by harnessing the wealth of existing knowledge across various portals, platforms, and publications, and providing guidance on how to connect this knowledge together. 3) Integrate the Connectivity Hub in EOSC. ### Description #### Automated adaptation content harvesting and visualisation (Pan-European) Users cannot quickly and easily find information, which impedes communication, coordination and collaboration. Knowledge is increasingly online, but fragmented, unstructured and siloed so users find it hard to search and discover information that they may not know exists. Creating improved taxonomies or knowledge graphs for the area of climate resilience will enhance search capabilities, improve communication and collaboration, and promote a shared understanding. Extract, curate and make available climate and non-climate information (e.g., climate data, socio-economic scenarios, case studies, adaptation measures, among others) from popular knowledge portals, platforms and publications, specifically necessary to support the development and implementation of adaptation planning. ### FAIR2Adapt Contribution Use of AI to analyse the harvested content and automatically construct taxonomies and knowledge graphs to both visualise the content on the Connectivity Hub and ensure resources are more discoverable. When translated into a glossary the taxonomy provides a range of definitions of common terms that are used differently by different communities to further support learning. ### Lead Partner SEI ### External Stakeholders involved in CCA Knowledge producers, decision- and policy-makers, knowledge brokers, governmental agencies, citizens." assertion.
- 2a889d82-5b8c-48c2-820b-e8da468d64bf contentSize "0" assertion.
- 2a889d82-5b8c-48c2-820b-e8da468d64bf contributor 0000-0003-2195-3997 assertion.
- 2a889d82-5b8c-48c2-820b-e8da468d64bf contributor 0000-0002-1784-2920 assertion.
- 2a889d82-5b8c-48c2-820b-e8da468d64bf dateCreated "2025-03-08 16:01:30.189704+00:00" assertion.
- RAVgqppDFnLwV3SgHcGS0cv2MOedMKbMlNGvLmvuTttjI dateCreated "2025-06-30 20:00:38.359793+00:00" assertion.
- 2a889d82-5b8c-48c2-820b-e8da468d64bf creation_mode "MANUAL" assertion.
- 0000-0002-1784-2920 orcid "0000-0002-1784-2920" assertion.
- 2a889d82-5b8c-48c2-820b-e8da468d64bf cite-as "Fouilloux, Anne, Anne Fouilloux, and Barbara Magagna. "Enriching weADAPT and the Climate Connectivity Hub." ROHub. Mar 08 ,2025. https://w3id.org/ro-id/2a889d82-5b8c-48c2-820b-e8da468d64bf." assertion.
- 657c24df-30af-4109-a399-59fe1702d449 normScore "100.0" assertion.
- 6931c5f2-ee3a-4ebd-961c-458393680985 normScore "100.0" assertion.
- b4e8933b-ff6e-4bde-8702-1556872f93fc normScore "100.0" assertion.
- c43d7965-a47b-49a1-a806-ba75c442480d normScore "100.0" assertion.
- e78f1886-9bbf-448f-a101-f50d5d4918f1 normScore "10.87314662273476" assertion.
- 07767e50-0a55-4034-8178-4fc866a540a6 normScore "11.320754716981131" assertion.
- 4659ea82-123b-42f8-9f89-0b4369d9f3a3 normScore "13.207547169811322" assertion.
- 20e787a2-948e-41fe-a9ed-68320a53d448 normScore "14.555256064690026" assertion.
- 894fc25b-7227-4c46-a2c9-0cd6d8a2922f normScore "14.662273476112025" assertion.
- b7057f82-5700-4f6e-84dc-b996548f9caf normScore "15.09433962264151" assertion.
- eaaff5c6-e443-498c-ad08-782ed44d4b7a normScore "15.358361774744028" assertion.
- c4e6b662-c7be-4477-ba1e-351d9867d17f normScore "15.633423180592992" assertion.
- da729688-5db0-44dc-bf08-1fd5c0396785 normScore "16.38225255972696" assertion.
- 76cc5d72-76f6-4d76-a935-38cd30670a0c normScore "19.79522184300341" assertion.
- 02241db2-73a9-4f91-8abe-5df7cb1a1030 normScore "20.485175202156334" assertion.
- 4f625a72-9105-4dd6-b8c8-fd24efc9cc30 normScore "21.160409556313994" assertion.
- b9fe016c-022d-46b5-b5eb-ff8a7b543da1 normScore "25.24271844660194" assertion.
- 6f16b053-4fa0-4583-8985-ac3f3419a68f normScore "26.213592233009706" assertion.
- fef078a6-5999-4731-b2fb-6f2ce1d17db5 normScore "27.3037542662116" assertion.
- 6007e69e-2a49-4766-bcaa-73a1aadd75b2 normScore "28.15533980582524" assertion.
- 47bfaee5-3469-45f7-8956-a88ba7796fd7 normScore "32.61943986820428" assertion.
- 5427676a-b13b-4473-a576-6bb5bba53222 normScore "45.631067961165044" assertion.
- daa0da56-fbf0-4f8d-82b0-158888a06a3e normScore "5.601317957166392" assertion.
- 60975f3a-19d1-496c-a42e-abd15bed30af normScore "74.75728155339806" assertion.
- 54b184d5-7473-4383-8fea-ba7786d574bf normScore "8.73146622734761" assertion.
- 28af7903-9fca-4b1d-8ebe-17ae684caeef normScore "9.060955518945633" assertion.
- 5be154ae-5715-4f9b-9156-43a247e34726 normScore "9.225700164744646" assertion.
- f331a916-dbb9-4a95-a919-4f9812b96166 normScore "9.225700164744646" assertion.
- 13203e6c-c28b-4cfd-9e93-33137ac15c29 normScore "9.703504043126685" assertion.
- 139ae495-9daf-4212-a150-6453b70b2d12 path "Education" assertion.
- cf78dcaf-5448-4bc5-94d9-2f4ff9f7e964 path "Weather" assertion.
- f428e1b8-7c31-428b-80fe-7b02e33bfc32 path "Science and technology" assertion.
- 1a2154e6-f051-4d53-95d0-385739f60c6c path "Economy, business and finance/Business information/Business finance/Shareholder" assertion.
- c76057e8-634f-4ce0-9b43-a8078c13312e path "Arts, culture and entertainment/Culture" assertion.
- daa0da56-fbf0-4f8d-82b0-158888a06a3e score "3.4" assertion.
- 13203e6c-c28b-4cfd-9e93-33137ac15c29 score "3.6" assertion.
- 4659ea82-123b-42f8-9f89-0b4369d9f3a3 score "4.9" assertion.
- 28af7903-9fca-4b1d-8ebe-17ae684caeef score "5.5" assertion.
- 6007e69e-2a49-4766-bcaa-73a1aadd75b2 score "5.8" assertion.
- 76cc5d72-76f6-4d76-a935-38cd30670a0c score "5.8" assertion.
- c4e6b662-c7be-4477-ba1e-351d9867d17f score "5.8" assertion.
- 02241db2-73a9-4f91-8abe-5df7cb1a1030 score "7.6" assertion.