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  1. Endres-Niggemeyer, B.; Maier, E.; Sigel, A.: How to implement a naturalistic model of abstracting : four core working steps of an expert abstractor (1995) 0.04
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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
    Source
    Information processing and management. 31(1995) no.5, S.631-674
  2. Summarizing text : [Themenheft] (1995) 0.03
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    Source
    Information processing and management. 31(1995) no.5, S.625-784
  3. Ward, M.L.: ¬The future of the human indexer (1996) 0.03
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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
  4. Cremmins, E.T.: ¬The art of abstracting (1996) 0.02
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    Footnote
    Rez. in: Journal of chemical information and computer sciences 36(1996) no.5, S.1050 (V.K. Raman); Information processing and management 33(1997) no.4, S.573 (H.R. Tibbo)
  5. Busch-Lauer, I.-A.: Abstracts in German medical journals : a linguistic analysis (1995) 0.02
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    Source
    Information processing and management. 31(1995) no.5, S.769-776
  6. Rothkegel, A.: Abstracting from the perspective of text production (1995) 0.02
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    Source
    Information processing and management. 31(1995) no.5, S.777-784
  7. Lancaster, F.W.: Indexing and abstracting in theory and practice (2003) 0.01
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    Footnote
    Rez. in: JASIST 57(2006) no.1, S.144-145 (H. Saggion): "... This volume is a very valuable source of information for not only students and professionals in library and information science but also for individuals and institutions involved in knowledge management and organization activities. Because of its broad coverage of the information science topic, teachers will find the contents of this book useful for courses in the areas of information technology, digital as well as traditional libraries, and information science in general."
  8. Koltay, T.: ¬A hypertext tutorial on abstracting for library science students (1995) 0.01
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    Date
    27. 1.1996 18:22:06
  9. Palais, E.S.: Abstracting for reference librarians (1988) 0.01
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    Source
    Reference librarian. 1988, no.22, S.297-308
  10. 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
  11. Hartley, J.; Sydes, M.: Which layout do you prefer? : an analysis of readers' preferences for different typographic layouts of structured abstracts (1996) 0.01
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    Source
    Journal of information science. 22(1996) no.1, S.27-37
  12. Wan, X.; Yang, J.; Xiao, J.: Incorporating cross-document relationships between sentences for single document summarizations (2006) 0.01
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    Source
    Research and advanced technology for digital libraries : 10th European conference, proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006
  13. Hartley, J.; Sydes, M.; Blurton, A.: Obtaining information accurately and quickly : are structured abstracts more efficient? (1996) 0.01
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    Source
    Journal of information science. 22(1996) no.5, S.349-356
  14. 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
  15. Parekh, R.L.: Advanced indexing and abstracting practices (2000) 0.01
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    Content
    Inhalt: 1. Indexing and Abstracting 2. Automatic Indexing and Automatic Abstracting 3. Principles of Indexing 4.Periodicals Listing and Accessioning 5. Online Computer Service 6. Dialog, Searching and Bibliographic Display 7. Books 8. Bibliographic Control 9. Abstracting Functions 10. Acquisition System 11. Future of Indexing and Abstracting Services
  16. Wang, F.L.; Yang, C.C.: ¬The impact analysis of language differences on an automatic multilingual text summarization system (2006) 0.00
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