LiRI Corpus Platform: Data Model and Query

The LiRI Corpus Platform (LCP) was developed to host and query large data sets of annotated texts and multimedia content. LCP can accomodate a broad variety of corpora; in the context of Open Research Data, users are encouraged to import and share their data with LCP. In this session, participants get familiar with LCP by looking at existing corpora: how their annotations are represented and how they can be queried. This leads to a discussion about data preparation, not only from the perspective of the platform’s technical specifications, but also and as importantly from the end user’s perspective, so as to facilitate their querying and, ultimately, their extracting of the information that you are sharing with them. The CLARIN-CH Training Sessions 2025: Exploring Swiss Language Resources and Tools This training series took place during the spring semester 2025 and was organized by members of the CLARIN-CH ecosystem of infrastructures with the aim to introduce and deepen participants' knowledge of the Swiss national infrastructure for language data.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-17
DOI
https://doi.org/10.5281/zenodo.15826465
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

LiRI Corpus Platform: Data Model and Query

Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
article

LiRI Corpus Platform: Data Model and Query

article en

Abstract

The LiRI Corpus Platform (LCP) was developed to host and query large data sets of annotated texts and multimedia content. LCP can accomodate a broad variety of corpora; in the context of Open Research Data, users are encouraged to import and share their data with LCP. In this session, participants get familiar with LCP by looking at existing corpora: how their annotations are represented and how they can be queried. This leads to a discussion about data preparation, not only from the perspective of the platform’s technical specifications, but also and as importantly from the end user’s perspective, so as to facilitate their querying and, ultimately, their extracting of the information that you are sharing with them. The CLARIN-CH Training Sessions 2025: Exploring Swiss Language Resources and Tools This training series took place during the spring semester 2025 and was organized by members of the CLARIN-CH ecosystem of infrastructures with the aim to introduce and deepen participants' knowledge of the Swiss national infrastructure for language data.

Zenodo (CERN European Organization for Nuclear Research)
University of Zurich (CH)
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Natural Language Processing Techniques
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