Managing linguistic resources by enriching their metadata with linked data
The NaLiDa project aims at contributing to an infrastructure for the metadata-based description and access to linguistic resources and tools. When aggregating heterogenous metadata sets from various providers to provide a single and uniform point of...
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The NaLiDa project aims at contributing to an infrastructure for the metadata-based description and access to linguistic resources and tools. When aggregating heterogenous metadata sets from various providers to provide a single and uniform point of access to the aggregation, data curation becomes a central issue. In this paper, we describe how we use authority files from the German National Library, available as Linked Data, to tackle this issue for metadata fields about persons, organisations, and subject classifications.
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Detecting impact relevant sections in scientific research
Impact assessment is an evolving area of research that aims at measuring and predicting the potential effects of projects or programs on a variety of stakeholders. While measuring the impact of scientific research is a vibrant subdomain of impact...
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Impact assessment is an evolving area of research that aims at measuring and predicting the potential effects of projects or programs on a variety of stakeholders. While measuring the impact of scientific research is a vibrant subdomain of impact assessment, a recurring obstacle in this specific area is the lack of an efficient framework that facilitates labeling and analysis of lengthy reports. To address this issue, we propose, implement, and evaluate a framework for automatically assessing the impact of scientific research projects by identifying pertinent sections in research reports that indicate potential impact. We leverage a mixed-method approach that combines manual annotation with supervised machine learning to extract these passages from project reports. We experiment with different machine learning algorithms, including traditional statistical models as well as pre-trained transformer language models. Our results show that our proposed method achieves accuracy scores up to 0.81, and that our method is generalizable to scientific research from different domains and different languages.
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Standards Information System for CLARIN centres and beyond
The present contribution describes features of the CLARIN Standards Information System that have been designed to assist data deposition centres in CLARIN. We also show what is needed and what has been done in order to go beyond the originally...
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The present contribution describes features of the CLARIN Standards Information System that have been designed to assist data deposition centres in CLARIN. We also show what is needed and what has been done in order to go beyond the originally designated target, so as to provide service to sibling and descendant research infrastructures, of which DARIAH and Text+ are taken as examples. This paper is aimed primarily at representatives of research infrastructure nodes, responsible for preparing and sharing data deposition information about their centres or repositories. It assumes a degree of technical knowledge or experience in using the XML format and tools, the REST API, and version control systems.
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Standards information system for CLARIN centres and beyond.
In the present contribution, we describe the features of the CLARIN SIS (Standards Information System) that have been designed to assist data-deposition centres in CLARIN. We also show what is needed to go beyond the originally designated target, in...
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In the present contribution, we describe the features of the CLARIN SIS (Standards Information System) that have been designed to assist data-deposition centres in CLARIN. We also show what is needed to go beyond the originally designated target, in order to provide service to sibling and descendant research infrastructures, of which DARIAH and Text+ are taken as examples.
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Libraries as data infrastructures
The CLARIN and DARIAH European research infrastructures have a long history of collaboration and cooperation. One recent joint initiative has been to strengthen and deepen collaboration with national and major research libraries, with a particular...
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The CLARIN and DARIAH European research infrastructures have a long history of collaboration and cooperation. One recent joint initiative has been to strengthen and deepen collaboration with national and major research libraries, with a particular focus on ways to facilitate the wider use of the extensive and culturally important digital datasets curated by libraries as research data. In order to further this goal, a series of workshops has beeninitiated, and a Conference of European National Librarians (CENL) Dialogue Forum has been established. Ongoing collaborative work includes a survey of existing collaborations between libraries and research infrastructures, an investigation of the potential for the creation of unique language models from digital library collections and an exploration of emerging initiatives such as the common European Data Space for Cultural Heritage.
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