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Copyright of Zeitschrift für Germanistische Linguistik is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Zeitschrift für Germanistische Linguistik is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper reports on findings from the MoCoDa2 project which is creating a corpus of private CMC interactions from smartphone apps based on donations by their users. Different from other projects in the field, the project involves users not only as donators but also as editors of their data: In a web-based editing environment which provides users with access to their raw data, they are supported in pseudonymising their data and enhancing them with rich metadata on the interactional context, meta-data on the interlocutors and their relations, and on embedded media files. The resulting corpus will be a useful resource not only for quantitative but also for qualitative CMC research. For representation and annotation of the data the project builds on best practices from previous projects in the field and cooperates with a language technology partner. [ABSTRACT FROM AUTHOR]

Copyright of Jahrbuch des Instituts für Deutsche Sprache is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article describes an approach for modelling domain-specific terminology in a wordnet-style representation. It uses the fundamental entities and relations introduced for the Princeton WordNet (Fellbaum 1998) and expands upon these in a way that fits for the representation of technical terms that are given in a corpus with scientific texts. The article starts with an overview on some essential semantic and lexical features of technical terms and terminological systems from the perspective of LSP research and formulates a set of requirements that derive from these characteristics for a modelling of domain-specific terminology which also aims to include terminological diversity (i.e. the existence of several terminological systems competing within the same special-field domain). Subsequently, the modelling approach with its fundamental modelling units will be introduced and the essential modelling decisions made with regard to the previously formulated requirements will be illuminated. In closing, two applications based on the modelling approach will be introduced: on the one hand a hypertext glossary of the domains 'hypermedia research and text technology' which has been built in the context of the DFG-funded project 'Text-grammatical foundations of text-to-hypertext conversion' at TU Dortmund University, and on the other hand the component 'Grammatische Ontologie' of the grammatical online information system 'Grammis' at the Institute for German Language (IDS), Mannheim. [ABSTRACT FROM AUTHOR]