Search (3 results, page 1 of 1)

  • × author_ss:"Berendt, B."
  1. Kralisch, A.; Berendt, B.: Language-sensitive search behaviour and the role of domain knowledge (2005) 0.00 
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    Abstract
    While many websites aim at a large and linguistically diversified audience, they present their information mostly in the languages of larger speakers groups. Little is known about the effect on accessibility. We investigated the influence of a site's language offer on website access and search behaviour with two studies, and studied the interaction of language offers and domain knowledge. To achieve high ecological validity, we analysed data from a multilingual site's web-server logfile and from a questionnaire posted on it, and compared the behaviour of users who accessed the site in a non-native language to that of users who accessed it in their native language. Results from 277,809 user sessions and 165 international survey participants indicate that a website's languages may strongly reduce website access by users not supplied with information in their native language. Once inside a site, non-native speakers with high domain knowledge behave similarly to native speakers. However, non-native speakers' behaviour becomes language-sensitive when they have low domain knowledge.
    Type
    a
  2. Berendt, B.; Krause, B.; Kolbe-Nusser, S.: Intelligent scientific authoring tools : interactive data mining for constructive uses of citation networks (2010) 0.00 
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    Abstract
    Many powerful methods and tools exist for extracting meaning from scientific publications, their texts, and their citation links. However, existing proposals often neglect a fundamental aspect of learning: that understanding and learning require an active and constructive exploration of a domain. In this paper, we describe a new method and a tool that use data mining and interactivity to turn the typical search and retrieve dialogue, in which the user asks questions and a system gives answers, into a dialogue that also involves sense-making, in which the user has to become active by constructing a bibliography and a domain model of the search term(s). This model starts from an automatically generated and annotated clustering solution that is iteratively modified by users. The tool is part of an integrated authoring system covering all phases from search through reading and sense-making to writing. Two evaluation studies demonstrate the usability of this interactive and constructive approach, and they show that clusters and groups represent identifiable sub-topics.
    Type
    a
  3. Berendt, B.: Spatial thinking with geographic maps : an empirical study (1998) 0.00 
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    Abstract
    Geographic maps are a well-established way of representing domain-specific knowledge in a way which integrates symbolic and pictorial representation. This paper proposes an interdisciplinary approach to the understanding of how maps represent and organise knowledge, combining artificial intelligence knowledge representation theory with empirical findings and methods from cognitive psychology. Schematic maps represent knowledge in a different way than topographic or city maps; in particular, distances and directions cannot be evaluated in the same way as in topographic or city maps. However, information from different types of maps must often be combined to answer everyday questions. An inference task involving such a combination, in order to locate a train station shown in a schematic map with respect to a part of a city map, was analysed theoretically with respect to how location judgments change with assumptions about what spatial information is contained in the schematic map. The same task was investigated empirically in a study in which subjects were asked to locate a train station and to describe their thinking in a subsequent verbal report. Results indicate that subjects' judgements and verbal reports can be grouped according to the theoretical analysis
    Type
    a

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