Search (32 results, page 1 of 2)

  • × year_i:[1990 TO 2000}
  • × theme_ss:"Automatisches Indexieren"
  1. Wolfekuhler, M.R.; Punch, W.F.: Finding salient features for personal Web pages categories (1997) 0.04
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1147-1156
  2. Ward, M.L.: ¬The future of the human indexer (1996) 0.04
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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
  3. Milstead, J.L.: Thesauri in a full-text world (1998) 0.03
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    Abstract
    Despite early claims to the contemporary, thesauri continue to find use as access tools for information in the full-text environment. Their mode of use is changing, but this change actually represents an expansion rather than a contrdiction of their utility. Thesauri and similar vocabulary tools can complement full-text access by aiding users in focusing their searches, by supplementing the linguistic analysis of the text search engine, and even by serving as one of the tools used by the linguistic engine for its analysis. While human indexing contunues to be used for many databases, the trend is to increase the use of machine aids for this purpose. All machine-aided indexing (MAI) systems rely on thesauri as the basis for term selection. In the 21st century, the balance of effort between human and machine will change at both input and output, but thesauri will continue to play an important role for the foreseeable future
    Date
    22. 9.1997 19:16:05
  4. Gibb, F.; Smart, G.: Knowledge-based indexing : the view from SIMPR (1991) 0.02
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    Source
    Libraries and expert systems. Ed. C. MacDonald et al
  5. Thiel, T.J.: Automated indexing of information stored on optical disk electronic document image management systems (1994) 0.02
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  6. Paijmans, H.: Comparing the document representation of two IR-systems : CLARIT and TOPIC (1993) 0.02
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    Abstract
    Discusses the TOPIC and CLARIT information retrieval systems in terms of assigned versus derived and precoordinate versus postcoordinate indexing. Compares the document representation of the two systems. Reports on a test done on a small sample of Wall Street Journal articles. The positive results found for CLARIT in earlier test on medical documents were not observed in this general database
  7. Kutschekmanesch, S.; Lutes, B.; Moelle, K.; Thiel, U.; Tzeras, K.: Automated multilingual indexing : a synthesis of rule-based and thesaurus-based methods (1998) 0.02
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    Source
    Information und Märkte: 50. Deutscher Dokumentartag 1998, Kongreß der Deutschen Gesellschaft für Dokumentation e.V. (DGD), Rheinische Friedrich-Wilhelms-Universität Bonn, 22.-24. September 1998. Hrsg. von Marlies Ockenfeld u. Gerhard J. Mantwill
  8. Tsareva, P.V.: Algoritmy dlya raspoznavaniya pozitivnykh i negativnykh vkhozdenii deskriptorov v tekst i protsedura avtomaticheskoi klassifikatsii tekstov (1999) 0.02
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    Date
    1. 4.2002 10:22:41
  9. Selisskaya, M.A.: Ispol'zovanie mashinnogo obucheniya pri avtomaticheskoi klassifikatsii tekstov (1999) 0.02
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    Footnote
    Übers. des Titels: Machine learning as a tool for development of automated text indexing systems
  10. Smart, G.: Using language analysis to manage information (1993) 0.02
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    Abstract
    The ESPRIT project SIMPR developed software to analyse documents and generate indexes for them. Of immediate application as a document indexing and classification system, this also offers a technology for information modelling that has broader implications, supporting many new uses for information management softeware. The project was based on the assumption that information can only be managed successfully by computer systems that can view the information contained in a document through the language in which the document is written, and that systems need to be sufficiently flexible to respond to the changing requirements of document use
  11. Schuegraf, E.J.; Bommel, M.F.van: ¬An automatic document indexing system based on cooperating expert systems : design and development (1993) 0.02
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    Abstract
    Discusses the design of an automatic indexing system based on two cooperating expert systems and the investigation related to its development. The design combines statistical and artificial intelligence techniques. Examines choice of content indicators, the effect of stemming and the identification of characteristic vocabularies for given subject areas. Presents experimental results. Discusses the application of machine learning algorithms to the identification of vocabularies
  12. Leyva, I.G.; Munoz, J.V.R.: Tendencias en los sistemas de indizacion automatica : estudio evolutivo (1996) 0.02
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    Abstract
    Early research at the end of the 1950s on computerized indexing used statistical methods based on e.g. frequency, probability, clustering, and relevance. In the 1960s interest began to focus on linguistic analysis and natural language processing e.g. morphological, morphosyntactical, syntactical and semantic analysis. Since the 1980s computerized indexing research has widened to include images, graphics and sound. Examples are given of notable systems developed within each line of approach
    Footnote
    Übers. d. Titels: Tendencies in computerized indexing systems: an evolutionary study
  13. Tsujii, J.-I.: Automatic acquisition of semantic collocation from corpora (1995) 0.01
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    Date
    31. 7.1996 9:22:19
  14. Riloff, E.: ¬An empirical study of automated dictionary construction for information extraction in three domains (1996) 0.01
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    Date
    6. 3.1997 16:22:15
  15. Hodge, G.M.: Computer-assisted database indexing : the state-of-the-art (1994) 0.01
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    Abstract
    Discusses the state-of-the art of computer indexing, defines indexing and computer assistance, describes the reasons for renewed interest. Identifies the types of computer support in use using selected operational systems, describes the integration of various computer supports in one databases production system, and speculates on the future
  16. Losee, R.M.: ¬A Gray code based ordering for documents on shelves : classification for browsing and retrieval (1992) 0.01
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    Abstract
    A document classifier places documents together in a linear arrangement for browsing or high-speed access by human or computerised information retrieval systems. Requirements for document classification and browsing systems are developed from similarity measures, distance measures, and the notion of subject aboutness. A requirement that documents be arranged in decreasing order of similarity as the distance from a given document increases can often not be met. Based on these requirements, information-theoretic considerations, and the Gray code, a classification system is proposed that can classifiy documents without human intervention. A measure of classifier performance is developed, and used to evaluate experimental results comparing the distance between subject headings assigned to documents given classifications from the proposed system and the Library of Congress Classification (LCC) system
  17. Hersh, W.R.; Hickam, D.H.: ¬A comparison of two methods for indexing and retrieval from a full-text medical database (1992) 0.01
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    Abstract
    Reports results of a study of 2 information retrieval systems on a 2.000 document full text medical database. The first system, SAPHIRE, features concept based automatic indexing and statistical retrieval techniques, while the second system, SWORD, features traditional word based Boolean techniques, 16 medical students at Oregon Health Sciences Univ. each performed 10 searches and their results, recorded in terms of recall and precision, showed nearly equal performance for both systems. SAPHIRE was also compared with a version of SWORD modified to use automatic indexing and ranked retrieval. Using batch input of queries, the latter method performed slightly better
  18. Bordoni, L.; Pazienza, M.T.: Documents automatic indexing in an environmental domain (1997) 0.01
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    Source
    International forum on information and documentation. 22(1997) no.1, S.17-28
  19. Koryconski, C.; Newell, A.F.: Natural-language processing and automatic indexing (1990) 0.01
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    Abstract
    The task of producing satisfactory indexes by automatic means has been tackled on two fronts: by statistical analysis of text and by attempting content analysis of the text in much the same way as a human indexer does. Though statistical techniques have a lot to offer for free-text database systems, neither method has had much success with back-of-the-book indexing. This review examines some problems associated with the application of natural-language processing techniques to book texts. - Vgl. auch die Erwiderung von K.P. Jones
  20. Cunningham, P.; Veale, T.; Conway, A.: Knowledge acquisition for concept indexing in document retrieval (1992) 0.01
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    Source
    Expert systems for information management. 5(1992) no.1, S.25-41