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Terminologiearbeit im wirtschaftlichen Kontext geht von zwei Arbeitsphasen aus: einer umfassenden deskriptiven Phase, in der die Begriffsstruktur und der aktuelle Terminologiegebrauch erfasst, aber noch nicht bewertet werden, sowie einer präskriptiven Phase, in der der eigentliche Standardisierungseingriff erfolgt. In der Praxis wird die deskriptive Phase oft reduziert und der Schwerpunkt unmittelbar auf die Präskription gelegt. In unserem Beitrag diskutieren wir das Potenzial, das eine ausführliche deskriptive Terminologiearbeit zur Verbesserung der Wissenskommunikation im Rahmen des Wissensmanagements birgt. Am Beispiel eines wissenschaftlichen Projektes im Bereich Grammatik des Deutschen zeigen wir, wie diese eng an der Theorie orientierte Ausgestaltung der Deskription in der Praxis aussieht, welche Herausforderungen sie mit sich bringt und wie ihre Ergebnisse das Wissensmanagement unterstützen können.
In our paper, we present a case study on the quality of concept relations in the manually developed terminological resource of grammis, an information system on German grammar. We assess a SKOS representation of the resource using the tool qSKOS, create a typology of the issues identified by the tool, and conduct a qualitative analysis of selected cases. We identify and discuss aspects that can motivate quality issues and uncover that ill-formed relations are frequently indicative of deeper issues in the data model. Finally, we outline how these findings can inform improvements in our resource’s data model, discussing implications for the machine readability of terminological data.
Terminological resources play a central role in the organization and retrieval of scientific texts. Both simple keyword lists and advanced modelings of relationships between terminological concepts can make a most valuable contribution to the analysis, classification, and finding of appropriate digital documents, either on the web or within local repositories. This seems especially true for long-established scientific fields with elusive theoretical and historical branches, where the use of terminology within documents from different origins is often far from being consistent. In this paper, we report on the progress of a linguistically motivated project on the onomasiological re-modeling of the terminological resources for the grammatical information system grammis. We present the design principles and the results of their application. In particular, we focus on new features for the authoring backend and discuss how these innovations help to evaluate existing, loosely structured terminological content, as well as to efficiently deal with automatic term extraction. Furthermore, we introduce a transformation to a future SKOS representation. We conclude with a positioning of our resources with regard to the Knowledge Organization discourse and discuss how a highly complex information environment like grammis benefits from the re-designed terminological KOS.