37.289, FYI: Webinar: Knowledge Graphs for Linguistics & SSH Research (GRAPHIA)
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Tue Jan 20 17:05:03 UTC 2026
LINGUIST List: Vol-37-289. Tue Jan 20 2026. ISSN: 1069 - 4875.
Subject: 37.289, FYI: Webinar: Knowledge Graphs for Linguistics & SSH Research (GRAPHIA)
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Date: 20-Jan-2026
From: Ursula Rabar [ursula.rabar at operas-eu.org]
Subject: Webinar: Knowledge Graphs for Linguistics & SSH Research (GRAPHIA)
I’d like to briefly share news about GRAPHIA, an EU-funded project
that may be of interest to linguists working with language data,
digital corpora, lexical resources, and open research infrastructures.
GRAPHIA is building a comprehensive Social Sciences and Humanities
(SSH) Knowledge Graph, with the aim of connecting fragmented research
data across disciplines, repositories, and formats. For linguistics in
particular, this includes linking corpora, lexicons, annotations,
publications, metadata, and related cultural or historical resources
in ways that make them easier to discover, interpret, and reuse.
A knowledge graph represents information as entities (e.g. languages,
corpora, texts, concepts, authors) and explicitly models the
relationships between them (e.g. describes, is based on, is annotated
with). Rather than simply linking records, this approach embeds
context and provenance. For linguistics—where data is often
distributed across archives, projects, formats, and
standards—knowledge graphs can help overcome silos, support
interoperability, and enable more complex queries across resources.
To introduce these ideas, GRAPHIA is hosting a free public webinar:
Why a Knowledge Graph for SSH? Concrete Use Cases with GRAPHIA
19 February, 11:00 AM CET
Online (Zoom)
Registration:
https://us02web.zoom.us/meeting/register/j6TbmDbjSfyetRAT92e5XA#/registration
The session will provide an accessible overview of what knowledge
graphs are, how they work, and why they matter—illustrated with
concrete SSH use cases that are relevant to language-centred research,
digital linguistics, and open scholarship more broadly.
Linguistic Field(s): Computational Linguistics
Lexicography
Text/Corpus Linguistics
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