Periodic Reporting for period 1 - NGI Search (Next Generation Internet Discovery and Search)
Reporting period: 2022-09-01 to 2024-02-29
Since the inception of the internet, applications and services using the internet have evolved significantly. In addition the number of devices connected to the internet, the creation of vast data lakes as well as distributed data cooperatives has made searching and discovering data and generally resources, a difficult, yet very important field of research, development and innovation. Today it is even more important to be able to find, represent and ultimately make sense of internet-based data sources and resources without the need of relying on non-transparent organisations offering such services, potentially violating privacy and trust.
The NGI Search project changes the way we use and experience, search and discover data and resources in general, on the internet and web. This includes new user interfaces for searching and representing data (e.g. voice and image based), heterogeneous data sources (e.g. IoT, semantic data, multimedia, social media as well as traditional websites), new methodologies (e.g. machine learning and natural language processing) in generic context and specific use cases (e.g. industry 4.0 health, social media).
The NGI Search project helps develop technologies and solutions enabling new and trustworthy ways of searching and discovering information on the internet across a variety of resources such as personal, scientific, industrial and environmental data, connected devices and smart objects, services, multimedia content, intranets and other ICT resources, both public and private. It also aims to empower end-users, including through agents acting on their behalf, to share and discover more data and reliable information sources, while preserving their privacy and increasing public trust in search results.
The NGI Search project’s core values are (1) Open Source development and real working code that is in a deployable state; (2) Contributions to standards and larger communities that are already working on solutions or have a solid track record in the community; (3) Collaboration between researchers, innovators and activists on deep technology to provide a foundation towards entering the market as a standard, open source project and/or commercial service. (4) adhere to the Open Science principle. (5) address transversal challenges, specifically gender and sustainability challenges.
The NGI Search project changes the way we use and experience, search and discover data and resources in general, on the internet and web. This includes new user interfaces for searching and representing data (e.g. voice and image based), heterogeneous data sources (e.g. IoT, semantic data, multimedia, social media as well as traditional websites), new methodologies (e.g. machine learning and natural language processing) in generic context and specific use cases (e.g. industry 4.0 health, social media).
The NGI Search project helps develop technologies and solutions enabling new and trustworthy ways of searching and discovering information on the internet across a variety of resources such as personal, scientific, industrial and environmental data, connected devices and smart objects, services, multimedia content, intranets and other ICT resources, both public and private. It also aims to empower end-users, including through agents acting on their behalf, to share and discover more data and reliable information sources, while preserving their privacy and increasing public trust in search results.
The NGI Search project’s core values are (1) Open Source development and real working code that is in a deployable state; (2) Contributions to standards and larger communities that are already working on solutions or have a solid track record in the community; (3) Collaboration between researchers, innovators and activists on deep technology to provide a foundation towards entering the market as a standard, open source project and/or commercial service. (4) adhere to the Open Science principle. (5) address transversal challenges, specifically gender and sustainability challenges.
The project has achieved all of its expected objectives and impacts for RP1. Some key highlights are listed below:
a) Novel recruitment mechanisms for NGI searchers using data driven methods alongside more traditional methods (WP1).
b) Solid and rigorous open call management and documentation including addressing of potential conflict of interests and ethics issues (WP2)
c) A portfolio of 31 grass roots projects on a wide range of topics covering digital commons services for citizens and businesses for search and discovery, large language models, fake news detection, ethical AI and AI analysis tools, privacy aware search engines as well as several industry specific services such as food, health, research, marketing, etc. (WP3)
d) Good interaction with the NGI CSAs on communication, impact generation and more recently policy. (WP4 and WP5)
e) A top-class advisory board helping us connect projects to standards, events and finding interesting NGI searchers. (WP1)
f) Participation in the NGI Forum, FOSDEM and OW2con amongst other events, recruiting NGI searchers and exposing the NGI FSTP projects to a wider audience. (WP4)
g) Creating a strong connection to our sister project Open Web Search, connecting several of the NGI search FSTP projects to the Open Web Search project. (WP4)
a) Novel recruitment mechanisms for NGI searchers using data driven methods alongside more traditional methods (WP1).
b) Solid and rigorous open call management and documentation including addressing of potential conflict of interests and ethics issues (WP2)
c) A portfolio of 31 grass roots projects on a wide range of topics covering digital commons services for citizens and businesses for search and discovery, large language models, fake news detection, ethical AI and AI analysis tools, privacy aware search engines as well as several industry specific services such as food, health, research, marketing, etc. (WP3)
d) Good interaction with the NGI CSAs on communication, impact generation and more recently policy. (WP4 and WP5)
e) A top-class advisory board helping us connect projects to standards, events and finding interesting NGI searchers. (WP1)
f) Participation in the NGI Forum, FOSDEM and OW2con amongst other events, recruiting NGI searchers and exposing the NGI FSTP projects to a wider audience. (WP4)
g) Creating a strong connection to our sister project Open Web Search, connecting several of the NGI search FSTP projects to the Open Web Search project. (WP4)
NGI search has funded a total of 31 FSTP projects that provide specific results byond the state of the art:
Search'a'licious
TalentLayer
ChatDKG
HeReFaNMi
LabDiscovery
MaDada
IoTTwinning (TWIN4DPP)
TrustSearch
SVP64
OnMyDisk
Verifai
Science-Checker
ADITIV
MindBugs
Debunker
ALLMA
SWH
TEThYS
WAISE
World Literature
Chat-EUR-Lex
OKLLM
AALLM
SCION Browser
MetaVision
TRUST4AI
Spare Cores
WASPER
E.V.A. Gallery
Indi
Better Food Search
Search'a'licious
TalentLayer
ChatDKG
HeReFaNMi
LabDiscovery
MaDada
IoTTwinning (TWIN4DPP)
TrustSearch
SVP64
OnMyDisk
Verifai
Science-Checker
ADITIV
MindBugs
Debunker
ALLMA
SWH
TEThYS
WAISE
World Literature
Chat-EUR-Lex
OKLLM
AALLM
SCION Browser
MetaVision
TRUST4AI
Spare Cores
WASPER
E.V.A. Gallery
Indi
Better Food Search