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Project

iCANDID 3.0 – SSH FAIR Data Hub

Data intensive research has been shaping new methods of
scientific discovery in the past decade. Finding, accessing
and reusing relevant sources in an interoperable way
requires a lot of effort from social sciences and (digital)
humanities (SSH) researchers. The proposed infrastructure
will tackle this problem, building on the achievements of
iCANDID (FWO medium-scale infrastructure 2018-2022).
iCANDID 3.0 will offer integrated access to various types of
textual big data harvested from news and political sources
facilitating cross-disciplinary data-driven research by linking
primary data collections from galleries, libraries, archives,
and museums (GLAM) with big data from the web. iCANDID
will be extended toward an intelligent text and image
analysis infrastructure to make GLAM and (social) media
data FAIR in all its aspects. State-of-the-art AI and machine
learning methods will facilitate text classification, named
entity mining, and machine translation of multilingual data.
Semantic enrichment by connecting to Linked Open Data
resources will create a network of data connections and
allow for meaningful data visualizations helping researchers
make sense of big data and allow them to uncover
previously hidden topics for cross-disciplinary research.
iCANDID 3.0 will connect (meta)data flows to the most
important European infrastructures (Europeana, CLARIAH,
CESSDA, SSHOC & EOSC) and increase the visibility,
valorization and reuse of GLAM collections and SSH
research data.
 

Date:1 May 2022 →  Today
Keywords:cross-disciplinary data-driven research, data mining tool, entity mining
Disciplines:Data mining, Information technologies