Search (10 results, page 1 of 1)

  • × theme_ss:"Referieren"
  • × type_ss:"a"
  • × year_i:[1990 TO 2000}
  1. Ward, M.L.: ¬The future of the human indexer (1996) 0.07
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    Abstract
    Considers the principles of indexing and the intellectual skills involved in order to determine what automatic indexing systems would be required in order to supplant or complement the human indexer. Good indexing requires: considerable prior knowledge of the literature; judgement as to what to index and what depth to index; reading skills; abstracting skills; and classification skills, Illustrates these features with a detailed description of abstracting and indexing processes involved in generating entries for the mechanical engineering database POWERLINK. Briefly assesses the possibility of replacing human indexers with specialist indexing software, with particular reference to the Object Analyzer from the InTEXT automatic indexing system and using the criteria described for human indexers. At present, it is unlikely that the automatic indexer will replace the human indexer, but when more primary texts are available in electronic form, it may be a useful productivity tool for dealing with large quantities of low grade texts (should they be wanted in the database)
    Date
    9. 2.1997 18:44:22
  2. Farrow, J.: All in the mind : concept analysis in indexing (1995) 0.01
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    Abstract
    The indexing process consists of the comprehension of the document to be indexed, followed by the production of a set of index terms. Differences between academic indexing and back-of-the-book indexing are discussed. Text comprehension is a branch of human information processing, and it is argued that the model of text comprehension and production debeloped by van Dijk and Kintsch can form the basis for a cognitive process model of indexing. Strategies for testing such a model are suggested
  3. Armstrong, C.J.; Wheatley, A.: Writing abstracts for online databases : results of database producers' guidelines (1998) 0.01
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    Abstract
    Reports on one area of research in an Electronic Libraries Programme (eLib) MODELS (MOving to Distributed Environments for Library Services) supporting study in 3 investigative areas: examination of current database producers' guidelines for their abstract writers; a brief survey of abstracts in some traditional online databases; and a detailed survey of abstracts from 3 types of electronic database (print sourced online databases, Internet subject trees or directories, and Internet gateways). Examination of database producers' guidelines, reported here, gave a clear view of the intentions behind professionally produced traditional (printed index based) database abstracts and provided a benchmark against which to judge the conclusions of the larger investigations into abstract style, readability and content
  4. Molina, M.P.: Documentary abstracting : toward a methodological approach (1995) 0.01
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    Abstract
    In the general abstracting process (GAP), there are 2 types of data: textual, within a particular framed trilogy (surface, deep, and rhetoric); and documentary (abstractor, means of production, and user demands). Proposes its development, the use of the following disciplines, among others: linguistics (structural, tranformational, and textual), logic (formal and fuzzy), and psychology (cognitive). The model for that textual transformation is based on a system of combined strategies with 4 key stages: reading understanding, selection, interpretation, and synthesis
  5. Endres-Niggemeyer, B.; Maier, E.; Sigel, A.: How to implement a naturalistic model of abstracting : four core working steps of an expert abstractor (1995) 0.01
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    Abstract
    4 working steps taken from a comprehensive empirical model of expert abstracting are studied in order to prepare an explorative implementation of a simulation model. It aims at explaining the knowledge processing activities during professional summarizing. Following the case-based and holistic strategy of qualitative empirical research, the main features of the simulation system were developed by investigating in detail a small but central test case - 4 working steps where an expert abstractor discovers what the paper is about and drafts the topic sentence of the abstract
  6. Endres-Niggemeyer, B.: Summarising text for intelligent communication : results of the Dagstuhl seminar (1994) 0.01
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    Abstract
    As a result of the transition to full-text storage, multimedia and networking, information systems are becoming more efficient but at the same time more difficult to use, in particular because users are confronted with information volumes that increasingly exceed individual processing capacities. Consequently, there is an increase in the demand for user aids such as summarising techniques. Against this background, the interdisciplinary Dagstuhl Seminar 'Summarising Text for Intelligent Communication' (Dec. 1993) outlined the academic state of the art with regard to summarising (abstracting) and proposed future directions for research and system development. Research is currently shifting its attention from text summarising to summarising states of affairs. Recycling solutions are put forward in order to satisfy short-term needs for summarisation products. In the medium and long term, it is necessary to devise concepts and methods of intelligent summarising which have a better formal and empirical grounding and a more modular organisation
  7. Koltay, T.: ¬A hypertext tutorial on abstracting for library science students (1995) 0.00
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    Date
    27. 1.1996 18:22:06
  8. Hartley, J.: Is it appropriate to use structured abstracts in social science journals? (1997) 0.00
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    Date
    25. 2.1997 10:29:16
  9. Hartley, J.; Sydes, M.: Which layout do you prefer? : an analysis of readers' preferences for different typographic layouts of structured abstracts (1996) 0.00
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    Source
    Journal of information science. 22(1996) no.1, S.27-37
  10. Hartley, J.; Sydes, M.; Blurton, A.: Obtaining information accurately and quickly : are structured abstracts more efficient? (1996) 0.00
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    Source
    Journal of information science. 22(1996) no.5, S.349-356