The Open Call #5 NGI Searchers are announced
Date: October 7, 2024 - 10:00-11:30
Meeting: OC5 KickOff Online Conference
The 5th Open Call for the NGI Search Project has attracted over 220 applications, with 121 formally submitted from 34 countries!
This 5th call for submissions to the NGI Search project began on May 29, 2024, and lasted two months. Throughout this period, 228 applicants initiated proposals aiming to obtain up to โฌ150K in equity-free funding, hoping to join the NGI Search project.
Where are these applications coming from?
NGI Search has received submissions from 34 countries, which include:
๐บ๐ธ USA | ๐ช๐ธ Spain | ๐ฉ๐ช Germany |
๐ต๐น Portugal | ๐บ๐ฆ Ukraine | ๐จ๐พ Cyprus |
๐ฎ๐น Italy | ๐ธ๐ฐ Slovakia | ๐ฌ๐ง United Kingdom |
๐ณ๐ฑ Netherlands | ๐ซ๐ท France | ๐ท๐ด Romania |
๐ซ๐ฎ Finland | ๐ท๐ธ Serbia | ๐ฌ๐ท Greece |
๐น๐ท Turkey | ๐ฒ๐ฉ Moldova | ๐ต๐ฑ Poland |
๐ง๐ช Belgium | ๐ฎ๐ธ Iceland | ๐ณ๐ด Norway |
๐ง๐ฌ Bulgaria | ๐บ๐ฟ Uzbekistan | ๐ฒ๐น Malta |
๐ญ๐บ Hungary | ๐จ๐ญ Switzerland | ๐ญ๐ท Croatia |
๐ธ๐ฎ Slovenia | ๐ฉ๐ฐ Denmark | ๐ฆ๐น Austria |
๐ฎ๐ฑ Israel | ๐ฑ๐ป Latvia | ๐ช๐ช Estonia |
๐ฎ๐ช Ireland |
Qlever
QLever is a highly efficient graph database that can handle RDF datasets of hundreds of billions of triples on a standard PC. It also shines on smaller datasets, processing queries faster than other engines.
NGI Search will allow an even wider usage of QLever through its compliance with the SPARQL 1.1 standard, while maintaining its high efficiency.
Listen to the podcast presentation:
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Open Politics
The Open Politics web application enables interaction with political data, from geospatial analysis to AI-guided decomposition of key issues, actors and interests and retrieval of relevant articles.
The database is reinforced by qualitative methods (e.g., tool-equipped AI chains) designed to enable the data to answer the most complex questions in the field of political science.
Listen to the podcast presentation:
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FoฬrderFunke
The matching concept behind FรถrderFunke turns searching conceptually on its head.
A person's profile filters various information spaces and "attracts" relevant things.
- You don't have to know a benefit exists.
- You don't have to search for it.
- You don't have to check your eligibility.
Instead, relevant information finds you automatically.
The team focuses on state benefits for now, but it wants to expand its scope beyond that, relying on Open Source, Privacy by Design and Linked Open Data.
Listen to the podcast presentation:
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OpenAR
The Open AR Cloud Association (OARC) develops technologies and standards for open and interoperable spatial computing components on which an ecosystem can flourish. Previously, the OARC created prototype components for an open spatial computing platform (OSCP).
The OARC seeks support to continue the development of the OSCP in 3 directions related to the NGI Search initiatives:
- Open geospatial visual localisation.
- Continuous and interoperable discovery of location-based content.
- Worldmodel descriptions and updates for 3D spatial and semantic context in search.
Listen to the podcast presentation:
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OSE
Linked Data Powered Hardware Design Search Ecosystem
The project aims to establish a revolutionary hardware design search ecosystem that leverages the Open Know-How (OKH) standard to vastly improve OSH designs' autonomy, discoverability, and comparability.
โจThis initiative will bridge existing OSH directories, enabling seamless search and access to hardware designs for various applications, from humanitarian engineering to commercial development.โจ
By standardising metadata and fostering an open and decentralised approach, the project seeks to bridge gaps between isolated hardware communities, enhance data portability, and promote the adoption of OSH best practices. Through LD, they fuse with search engines and other standards.
The project aims to develop the necessary tools and infrastructure to make hardware designs easily searchableโincluding on mainstream search engines and with AIโensuring that high-quality, trustworthy hardware designs are accessible and supporting innovation, crisis response, and sustainable development globally.
Listen to the podcast presentation:
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Scolab
By leveraging advanced algorithms, data integration, and enhanced performance, the project aims to improve geospatial address search accuracy, speed, and user experience. The geocoder will be optimised to handle diverse data sources, resolve ambiguous addresses, and provide intelligent suggestions and autocomplete functionality. Additionally, the project will ensure compliance with European standards, specifically the INSPIRE directive for transportation network data.
The enhanced geocoder will empower users to quickly discover and navigate to desired locations, supporting various applications, including geoportals and map viewers.
The project aims to create a comprehensive and reliable geocoding solution that meets the user's evolving needs through increased interoperability and seamless integration with other geospatial services.
Listen to the podcast presentation:
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OpenKnowledge
In this round, the MaDada platform, that makes more information from French public authorities discoverable to the citizens, will introduce technical improvements, such as a one-click request submission template and enhanced request visualization, to further streamline the user experience.
Listen to the podcast presentation:
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