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Extending a SKOS-based taxonomy catalog with collaborative features and an interface to provide terminologies to describe research data with interdisciplinary, semantic concepts
Publishing research data in the World Wide Web is typically done by uploading scientific files into a research data repository. Additional meta information can be provided, which is then used to improve the discoverability of this research dataset. However, search operations and filters are mainly keyword-based and commonly result in additional irrelevant or even missing search results, especially in an interdisciplinary research data sharing context. A semantic, concept-based approach can address this issue by relying on wellestablished taxonomies and linking similar concepts together. Taxonomy services already exist in different knowledge domains and provide concepts with identifiers in a controlled, quite static and isolated way. Essential features, such as collaboration, linking and integration, are often limited or missing, which are success factors for Web 2.0 applications and services. We therefore envision an interdisciplinary taxonomy service both accessible for humans and applications that can provide research concepts from different domains together with unambiguous identifiers and a flexible API to retrieve and manage available terms.
