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  • × author_ss:"Wolff, C."
  • × language_ss:"e"
  1. Heyer, G.; Quasthoff, U.; Wolff, C.: Aiding Web searches by statistical classification tools (2000) 0.01 
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    Abstract
    We describe an infrastructure for the collection and management of large amounts of text, and discuss the possibility of information extraction and visualisation from text corpora with statistical methods. The paper gives an overview of processing steps, the contents of our text databases as well as different query facilities. Our focus is on the extraction and visualisation of collocations and their usage for aiding web searches
    Series
    Schriften zur Informationswissenschaft; Bd.38
    Source
    Informationskompetenz - Basiskompetenz in der Informationsgesellschaft: Proceedings des 7. Internationalen Symposiums für Informationswissenschaft (ISI 2000), Hrsg.: G. Knorz u. R. Kuhlen
  2. Spanner, S.; Burghardt, M.; Wolff, C.: Twista - an application for the analysis and visualization of tailored tweet collections (2015) 0.01 
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    Series
    Schriften zur Informationswissenschaft; Bd.66
    Source
    Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff
  3. Krause, J.; Marx, J.; Roppel, S.; Schudnagis, M.; Wolff, C.; Womser-Hacker, C.: Multimodality and object orientation in an intelligent materials information system (1993-94) 0.00 
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    Abstract
    In this paper we present a multimodal design concept for a materials information system interface. The project WING-IIR combines both form-oriented and natural language database in a GUI-based environment, giving the user a choice of query modes. Our design is embedded in a tool-based, object oriented structure which allows for adequate interpretation and usability for both, novice and expert users. Implementing context-sensitivity and transparency between query modalities and different levels of data granularity further help in solving difficult materials problems. In addition a number of different Intelligent Information Retrieval (IIR) modules complement the basic database interface: a stereotype-based user model reduces interface complexity by adapting to the users' actual interests; the WING-GRAPH component allows for graphical retrieval of materials curves, i.e. users may manipulate graphical data representations in order to query the database and a fuzzy-WING component is proposed for modelling vagueness in natural language queries as well as for vague interpretation of seemingly exact queries
  4. Heckner, M.; Mühlbacher, S.; Wolff, C.: Tagging tagging : a classification model for user keywords in scientific bibliography management systems (2007) 0.00 
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    Abstract
    Therefore our main research questions are as follows: - Is it possible to discover regular patterns in tag usage and to establish a stable category model? - Does a specific tagging language comparable to internet slang or chatspeak evolve? - How do social tags differ from traditional (author / expert) keywords? - To what degree are social tags taken from or findable in the full text of the tagged resource? - Do tags in a research literature context go beyond simple content description (e.g. tags indicating time or task-related information, cf. Kipp et al. 2006)?

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