The Meta-data-Database of a Next Generation Sustainability Web-Platform for Language Resources
Our goal is to provide a web-based platform for the long-term preservation and distribution of a heterogeneous collection of linguistic resources. We discuss the corpus preprocessing and normalisation phase that results in sets of multi-rooted trees....
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Our goal is to provide a web-based platform for the long-term preservation and distribution of a heterogeneous collection of linguistic resources. We discuss the corpus preprocessing and normalisation phase that results in sets of multi-rooted trees. At the same time we transform the original metadata records, just like the corpora annotated using different annotation approaches and exhibiting different levels of granularity, into the all-encompassing and highly flexible format eTEI for which we present editing and parsing tools. We also discuss the architecture of the sustainability platform. Its primary components are an XML database that contains corpus and metadata files and an SQL database that contains user accounts and access control lists. A staging area, whose structure, contents, and consistency can be checked using tools, is used to make sure that new resources about to be imported into the platform have the correct structure.
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SPLICR: A Sustainability Platform for Linguistic Corpora and Resources
We present SPLICR, the Web-based Sustainability Platform for Linguistic Corpora and Resources. The system is aimed at people who work in Linguistics or Computational Linguistics: a comprehensive database of metadata records can be explored in order...
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We present SPLICR, the Web-based Sustainability Platform for Linguistic Corpora and Resources. The system is aimed at people who work in Linguistics or Computational Linguistics: a comprehensive database of metadata records can be explored in order to find language resources that could be appropriate for one’s specific research needs. SPLICR also provides an interface that enables users to query and to visualise corpora. The project in which the system is being developed aims at sustainably archiving the ca. 60 language resources that have been constructed in three collaborative research centres. Our project has two primary goals: (a) To process and to archive sustainably the resources so that they are still available to the research community in five, ten, or even 20 years time. (b) To enable researchers to query the resources both on the level of their metadata as well as on the level of linguistic annota-tions. In more general terms, our goal is to enable solutions that leverage the interoperability, reusability, and sustainability of heterogeneous collections of language resources.
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Wohin damit? Storing and reusing my language data: Minute Madness der Datenzentren
Präsentiert beim Workshop "Wohin damit? Storing and reusing my language data" am 22. Juni 2023 in Mannheim. Die Präsentation wurde im Kontext der Arbeit des Vereins Nationale Forschungsdateninfrastruktur (NFDI) e.V. gehalten.
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Präsentiert beim Workshop "Wohin damit? Storing and reusing my language data" am 22. Juni 2023 in Mannheim. Die Präsentation wurde im Kontext der Arbeit des Vereins Nationale Forschungsdateninfrastruktur (NFDI) e.V. gehalten.
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Avoiding Data Graveyards : from Heterogeneous Data Collected in Multiple Research Projects to Sustainable Linguistic Resources
This paper describes a new research initiative addressing the issue of sustainability of linguistic resources. The initiative is a cooperation between three collaborative research centres in Germany – the SFB 441 “Linguistic Data Structures” in...
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This paper describes a new research initiative addressing the issue of sustainability of linguistic resources. The initiative is a cooperation between three collaborative research centres in Germany – the SFB 441 “Linguistic Data Structures” in Tübingen, the SFB 538 “Multilingualism” in Hamburg, and the SFB 632 “Information Structure” in Potsdam/Berlin. The aim of the project is to develop methods for sustainable archiving of the diverse bodies of linguistic data used at the three sites. In the first half of the paper, the data handling solutions developed so far at the three centres are briefly introduced. This is followed by an assessment of their commonalities and differences and of what these entail for the work of the new joint initiative. The second part then sketches seven areas of open questions with respect to sustainable data handling and gives a more detailed account of two of them – integration of linguistic terminologies and development of best practice guidelines.
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