The Open Call #5 NGI Searchers are announced



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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 โ‚ฌ150K 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:

๐Ÿ‡บ๐Ÿ‡ธ USA๐Ÿ‡ช๐Ÿ‡ธ Spain๐Ÿ‡ฉ๐Ÿ‡ช Germany
๐Ÿ‡ต๐Ÿ‡น Portugal๐Ÿ‡บ๐Ÿ‡ฆ Ukraine๐Ÿ‡จ๐Ÿ‡พ Cyprus
๐Ÿ‡ฎ๐Ÿ‡น Italy๐Ÿ‡ธ๐Ÿ‡ฐ Slovakia๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom
๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands๐Ÿ‡ซ๐Ÿ‡ท France๐Ÿ‡ท๐Ÿ‡ด Romania
๐Ÿ‡ซ๐Ÿ‡ฎ Finland๐Ÿ‡ท๐Ÿ‡ธ Serbia๐Ÿ‡ฌ๐Ÿ‡ท Greece
๐Ÿ‡น๐Ÿ‡ท Turkey๐Ÿ‡ฒ๐Ÿ‡ฉ Moldova๐Ÿ‡ต๐Ÿ‡ฑ Poland
๐Ÿ‡ง๐Ÿ‡ช Belgium๐Ÿ‡ฎ๐Ÿ‡ธ Iceland๐Ÿ‡ณ๐Ÿ‡ด Norway
๐Ÿ‡ง๐Ÿ‡ฌ Bulgaria๐Ÿ‡บ๐Ÿ‡ฟ Uzbekistan๐Ÿ‡ฒ๐Ÿ‡น Malta
๐Ÿ‡ญ๐Ÿ‡บ Hungary๐Ÿ‡จ๐Ÿ‡ญ Switzerland๐Ÿ‡ญ๐Ÿ‡ท Croatia
๐Ÿ‡ธ๐Ÿ‡ฎ Slovenia๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark๐Ÿ‡ฆ๐Ÿ‡น Austria
๐Ÿ‡ฎ๐Ÿ‡ฑ Israel๐Ÿ‡ฑ๐Ÿ‡ป Latvia๐Ÿ‡ช๐Ÿ‡ช Estonia
๐Ÿ‡ฎ๐Ÿ‡ช 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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FoฬˆrderFunke

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.

โœจThis initiative will bridge existing OSH directories, enabling seamless search and access to hardware designs for various applications, from humanitarian engineering to commercial development.โœจ

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 searchableโ€”including on mainstream search engines and with AIโ€”ensuring 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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EU programme:  HORIZON-CL4-2021-HUMAN-01  

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This project has received funding from the European Unionโ€™s Horizon Europe research and innovation programme under the grant agreement 101069364 and it is framed under Next Generation Internet Initiative.

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