PUBLICATION
Extending a SKOS-based taxonomy catalog with collaborative features and an interface to provide terminologies to describe research data with interdisciplinary, semantic concepts
Type
Conference Paper
Year
2021
Authors
Tran, Bach
Research Area
Intelligent Information Management
Event
Published in
E-Science-Tage 2021
Download
Abstract
In the context of OpenScience, researchers are encouraged to publish their research datasets in common data repositories so that others can find and reuse it. By using established terminologies with unique concept identifiers, researchers can make sure, that the provided meta information is structured, unambiguous and appropriate for retrieval activities in the future. Several web-based taxonomycatalogs alreadyexist providing services for accessing a collection of relevant terminologies. However, the current data presentation and management is driven by controlled and multiple times reviewed vocabularies and therefore often quite static. Provided terms might be incomplete, outdated or even contain wrong information. Instead, it would be a benefit if such a knowledge base of research-related concepts can be extended by a broader community, including the creation of missing terms, the categorization of existing concept groups and the interlinking between related conceptssimilar to the success factors of the Web 2.0.In an ongoing project, we currently implement and assess the extension of traditional terminology services with collaborative features. Collaborative features may encompass adding, updating, versioning, voting, tagging and linking concepts/terms if they relate to similar aspects of the real world. The extensions are currently based on a SKOSMOS terminology service and focusing on general research-related aspects in the context of a HybridSocieties application scenario
Reference
Langer, André; Bach, Tran,; Gaedke, Martin: Extending a SKOS-based taxonomy catalog with collaborative features and an interface to provide terminologies to describe research data with interdisciplinary, semantic concepts. E-Science-Tage 2021, 2021.
