Refine
Document Type
- Article (2)
- Part of a Book (2)
Has Fulltext
- yes (4)
Is part of the Bibliography
- yes (4)
Keywords
- Grammis (4) (remove)
Publicationstate
- Veröffentlichungsversion (2)
- Zweitveröffentlichung (2)
- Postprint (1)
Reviewstate
- (Verlags)-Lektorat (2)
- Peer-Review (1)
Publisher
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.
In this paper, we present our approach to automatically extracting German terminology in the domain of grammar using texts from the online information system grammis as our corpus. We analyze existing repositories of German grammatical terminology and develop Part-of-speech patterns for our extraction thereby showing the importance of unigrams in this domain. We contrast the results of the automatic extraction with a manually extracted standard. By comparing the performance of well-known statistical measures, we show how measures based on corpus comparison outperform alternative methods.
Im Rahmen einer zur Zeit stattfindenden Umgestaltung der Inhalte und der Benutzeroberfläche des Online-Portals grammis hat sich eine Projektgruppe konstituiert, die es sich zur Aufgabe gemacht hat, das am IDS vorhandene Terminologiesystem zur Grammatik des Deutschen zu überarbeiten und zu erweitern: Dies betrifft zum einen die Überarbeitung und Erweiterung des Terminologieinventars, aber auch die zugrundeliegende methodische Grundlage und technische Infrastruktur. Zum Verständnis dieses Vorhabens sollen zunächst die vorhandenen Vorarbeiten und Grundlagen vorgestellt werden.