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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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DiTraRe: AI on a Spider's Web. Interweaving Disciplines for Digitalisation

Authors: Jacyszyn, Anna M.; Sack, Harald; DiTraRe-Study, Group; Razum, Matthias; Bach, Felix;

DiTraRe: AI on a Spider's Web. Interweaving Disciplines for Digitalisation

Abstract

The recently established Leibniz Science Campus “Digital Transformation of Research” (DiTraRe) investigates the effects of a broadly understood process of digitalisation of research on a multilevel scale. The project concentrates on four research clusters concerning different topics and gathering use cases from varying scientific areas. For a multi-scale investigation these research clusters are interwoven with four dimensions, each of which approaches the tasks from a different perspective and poses its own research questions. Within this “spider’s web” we are not only developing practical solutions for each use case but also seeking to find generalisations valuable to the scientific community as well as society in general. Sophisticated AI technologies, like natural language processing, knowledge extraction, and ontology engineering, are investigated within the DiTraRe project by the dimension Exploration and knowledge organisation. This position paper aims to describe the DiTraRe Science Campus in general as well as concentrate on its aforementioned dimension concerning implementation of AI techniques.

The recently established Leibniz Science Campus “Digital Transformation of Research” (DiTraRe) investigates the effects of a broadly understood process of digitalisation of research on a multilevel scale. The project concentrates on four research clusters concerning different topics and gathering use cases from varying scientific areas. For a multi-scale investigation these research clusters are interwoven with four dimensions, each of which approaches the tasks from a different perspective and poses its own research questions. Within this “spider’s web” we are not only developing practical solutions for each use case but also seeking to find generalisations valuable to the scientific community as well as society in general. Sophisticated AI technologies, like natural language processing, knowledge extraction, and ontology engineering, are investigated within the DiTraRe project by the dimension Exploration and knowledge organisation. This position paper aims to describe the DiTraRe Science Campus in general as well as concentrate on its aforementioned dimension concerning implementation of AI techniques.

This position paper was accepted for publication in the 4𝑡ℎ International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment 11/12 November 2024 - Baltimore, MD, USA; co-located with The 23𝑟𝑑 International Semantic Web Conference, ISWC 2024.

This short publication consists of four pages of main body together with two pages of references and an appendix.

Keywords

applied artificial intelligence, digitalisation, research data management, knowledge organisation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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