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  • × theme_ss:"Automatisches Indexieren"
  1. Damerau, F.J.: Generating an evaluating domain-oriented multi-word terms from texts (1993) 0.01 
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    Abstract
    Examines techniques for automatically generating domain vocabularies from large text collections. Focuses on the problem of generating multi-word vocabulary terms (specifically pairs). Discusses statistical issues associated with word co-occurrences likely to be of use in a natural language interface. Provides a more objective evaluation of the selection procedures. As substantial experimentation with subjects using a working query system is absent, all evaluation is necessarily subjective. Uses surrogate for experimentation by relying on pre-existing dictionaries as indicators of domain relevance
    Source
    Information processing and management. 29(1993) no.4, S.433-447
  2. Bordoni, L.; Pazienza, M.T.: Documents automatic indexing in an environmental domain (1997) 0.01 
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    Abstract
    Describes an application of Natural Language Processing (NLP) techniques, in HIRMA (Hypertextual Information Retrieval Managed by ARIOSTO), to the problem of document indexing by referring to a system which incorporates natural language processing techniques to determine the subject of the text of documents and to associate them with relevant semantic indexes. Describes briefly the overall system, details of its implementation on a corpus of scientific abstracts related to environmental topics and experimental evidence of the system's behaviour. Analyzes in detail an experiment designed to evaluate the system's retrieval ability in terms of recall and precision
    Source
    International forum on information and documentation. 22(1997) no.1, S.17-28
  3. Wang, S.; Koopman, R.: Embed first, then predict (2019) 0.01 
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    Abstract
    Automatic subject prediction is a desirable feature for modern digital library systems, as manual indexing can no longer cope with the rapid growth of digital collections. It is also desirable to be able to identify a small set of entities (e.g., authors, citations, bibliographic records) which are most relevant to a query. This gets more difficult when the amount of data increases dramatically. Data sparsity and model scalability are the major challenges to solving this type of extreme multilabel classification problem automatically. In this paper, we propose to address this problem in two steps: we first embed different types of entities into the same semantic space, where similarity could be computed easily; second, we propose a novel non-parametric method to identify the most relevant entities in addition to direct semantic similarities. We show how effectively this approach predicts even very specialised subjects, which are associated with few documents in the training set and are more problematic for a classifier.
    Date
    29. 9.2019 12:18:42
  4. Plaunt, C.; Norgard, B.A.: ¬An association-based method for automatic indexing with a controlled vocabulary (1998) 0.01 
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    Abstract
    In this article, we describe and test a two-stage algorithm based on a lexical collocation technique which maps from the lexical clues contained in a document representation into a controlled vocabulary list of subject headings. Using a collection of 4.626 INSPEC documents, we create a 'dictionary' of associations between the lexical items contained in the titles, authors, and abstracts, and controlled vocabulary subject headings assigned to those records by human indexers using a likelihood ratio statistic as the measure of association. In the deployment stage, we use the dictiony to predict which of the controlled vocabulary subject headings best describe new documents when they are presented to the system. Our evaluation of this algorithm, in which we compare the automatically assigned subject headings to the subject headings assigned to the test documents by human catalogers, shows that we can obtain results comparable to, and consistent with, human cataloging. In effect we have cast this as a classic partial match information retrieval problem. We consider the problem to be one of 'retrieving' (or assigning) the most probably 'relevant' (or correct) controlled vocabulary subject headings to a document based on the clues contained in that document
    Date
    11. 9.2000 19:53:22
  5. Wolfekuhler, M.R.; Punch, W.F.: Finding salient features for personal Web pages categories (1997) 0.00 
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1147-1156
  6. Franke-Maier, M.: Anforderungen an die Qualität der Inhaltserschließung im Spannungsfeld von intellektuell und automatisch erzeugten Metadaten (2018) 0.00 
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    Abstract
    Spätestens seit dem Deutschen Bibliothekartag 2018 hat sich die Diskussion zu den automatischen Verfahren der Inhaltserschließung der Deutschen Nationalbibliothek von einer politisch geführten Diskussion in eine Qualitätsdiskussion verwandelt. Der folgende Beitrag beschäftigt sich mit Fragen der Qualität von Inhaltserschließung in digitalen Zeiten, wo heterogene Erzeugnisse unterschiedlicher Verfahren aufeinandertreffen und versucht, wichtige Anforderungen an Qualität zu definieren. Dieser Tagungsbeitrag fasst die vom Autor als Impulse vorgetragenen Ideen beim Workshop der FAG "Erschließung und Informationsvermittlung" des GBV am 29. August 2018 in Kiel zusammen. Der Workshop fand im Rahmen der 22. Verbundkonferenz des GBV statt.
  7. Groß, T.: Automatische Indexierung von Dokumenten in einer wissenschaftlichen Bibliothek : Implementierung und Evaluierung am Beispiel der Deutschen Zentralbibliothek für Wirtschaftswissenschaften (2011) 0.00 
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    Abstract
    Die Bewertung der Indexierungsqualität bzw. -güte ist ein grundlegendes Problem von intellektuellen und automatischen Indexierungsverfahren. Letztere werden aber gerade im digitalen Zeitalter als einzige Möglichkeit angesehen, den zunehmenden Schwierigkeiten bibliothekarischer Informationsstrukturierung gerecht zu werden. Diese Studie befasst sich mit der Funktionsweise, Implementierung und Evaluierung der Sacherschließungssoftware MindServer Categorizer der Firma Recommind an der Deutschen Zentralbibliothek für Wirtschaftswissenschaften. Grundlage der maschinellen Sacherschließung und anschließenden quantitativen und qualitativen Auswertung bilden rund 39.000 wirtschaftswissenschaftliche Dokumente aus den Datenbanken Econis und EconStor. Unter Zuhilfenahme des rund 6.000 Schlagwörter umfassenden Standard-Thesaurus Wirtschaft wird der ursprünglich rein statistische Indexierungsansatz des MindServer Categorizer zu einem begriffsorientierten Verfahren weiterentwickelt und zur Inhaltserschließung digitaler Informationsressourcen eingesetzt. Der zentrale Fokus dieser Studie liegt vor allem auf der Evaluierung der maschinell beschlagworteten Titel, in Anlehnung an die hierzu von Stock und Lancaster vorgeschlagenen Kriterien: Indexierungskonsistenz, -tiefe, -breite, -spezifität, -effektivität. Weiterhin wird die Belegungsbilanz des STW evaluiert und es erfolgt zusätzlich eine qualitative, stichprobenartige Bewertung der Ergebnisse seitens der zuständigen Fachreferenten und -referentinnen.
    Date
    19. 6.2015 18:00:29
  8. Kuhlen, R.: Morphologische Relationen durch Reduktionsalgorithmen (1974) 0.00 
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    Date
    29. 1.2011 14:56:29
  9. Panyr, J.: STEINADLER: ein Verfahren zur automatischen Deskribierung und zur automatischen thematischen Klassifikation (1978) 0.00 
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    Source
    Nachrichten für Dokumentation. 29(1978), S.92-96
  10. Salton, G.; Yang, C.S.: On the specification of term values in automatic indexing (1973) 0.00 
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    Source
    Journal of documentation. 29(1973), S.351-372
  11. Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.00 
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    Source
    Information processing and management. 22(1986) no.6, S.465-476
  12. Gomez, I.: Coping with the problem of subject classification diversity (1996) 0.00 
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    Abstract
    The delimination of a research field in bibliometric studies presents the problem of the diversity of subject classifications used in the sources of input and output data. Classification of documents according the thematic codes or keywords is the most accurate method, mainly used is specialized bibliographic or patent databases. Classification of journals in disciplines presents lower specifity, and some shortcomings as the change over time of both journals and disciplines and the increasing interdisciplinarity of research. Standardization of subject classifications emerges as an important point in bibliometric studies in order to allow international comparisons, although flexibility is needed to meet the needs of local studies
  13. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.00 
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    Date
    20.10.2000 12:22:23
  14. Hlava, M.M.K.: Automatic indexing : comparing rule-based and statistics-based indexing systems (2005) 0.00 
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    Source
    Information outlook. 9(2005) no.8, S.22-23
  15. Lepsky, K.: Im Heuhaufen suchen - und finden : Automatische Erschließung von Internetquellen: Möglichkeiten und Grenzen (1998) 0.00 
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    Abstract
    Das Internet wird immer unübersichtlicher - auch eine Binsenweisheit, aber wohl mehr ein handfestes Problem. Abhilfe versprechen die diversen Suchmaschinen und Verzeichnisse der kommerziellen Anbieter, zu denen sich thematische Link-Sammlungen anderer Institutionen - etwas Bibliotheken - gesellen. Während die Suchmaschinen mit dem Anspruch arbeiten, das gesamte Netz zu erschließen (und diesen damit einlösen, daß sie ihre Kundschaft teilweise mit mehreren hundert Treffern nach einer Anfrage konfrontieren), haben die Anbieter ausgewählter und intellektuelle erschlossener Quellen häufig mit dem Problem mangelnder Aktualität und der Beschränktheit ihres Angebots zu kämpfen. - Der folgende Beitrag diskutiert verschiedene Verfahren, die in erheblich stärkerem Maße sowohl die Vollständigkeit als auch die Relevanz der durchsuchten beziehungsweise gefundenen Internetquellen sicherstellen sollen. In diesem Zusammenhang wird auch die Frage erörtert, welche Rolle den Bibliotheken bei der Entwicklung und Anwendung solcher Techniken zukommen könnte
  16. Junger, U.: Möglichkeiten und Probleme automatischer Erschließungsverfahren in Bibliotheken : Bericht vom KASCADE-Workshop in der Universitäts- und Landesbibliothek Düsseldorf (1999) 0.00 
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    Date
    23.10.1996 17:26:29
  17. Spitters, M.J.: Adjust : automatische thesauriele ontsluiting van grote hoeveelheden krantenartikelen (1999) 0.00 
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    Source
    Informatie professional. 3(1999) no.10, S.29-31
  18. Knorz, G.: Automatische Indexierung (1994) 0.00 
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    Date
    29. 1.2011 17:56:21
  19. Nicoletti, M.: Automatische Indexierung (2001) 0.00 
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    Date
    29. 9.2017 12:00:04
  20. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.00 
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    Date
    14. 6.2015 22:12:44

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