Search (265 results, page 2 of 14)

  • × theme_ss:"Automatisches Indexieren"
  1. Garfield, E.; Sher, I.H.: KeyWords Plus: algorithmic derivative indexing (1993) 0.03 
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    Source
    Journal of the American Society for Information Science. 44(1993) no.5, S.298-299
  2. Dattola, R.T.: FIRST: Flexible information retrieval system for text (1979) 0.03 
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    Source
    Journal of the American Society for Information Science. 30(1979), S.9-14
  3. Luhn, H.P.: ¬A statistical approach to the mechanical encoding and searching of literary information (1957) 0.03 
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    Source
    IBM journal of research and development. 1(1957), S.309-317
  4. Stiles, H.E.: ¬The association factor in information retrieval (1961) 0.03 
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    Source
    Journal of the Association for Computing Machinery. 8(1961), S.271-275
  5. Maron, M.E.: Automatic indexing : an experimental inquiry (1961) 0.03 
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    Source
    Journal of the Association for Computing Machinery. 8(1961), S.404-417
  6. Bookstein, A.; Swanson, D.R.: Probabilistic models for automatic indexing (1974) 0.03 
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    Source
    Journal of the American Society for Information Science. 25(1974), S.312-318
  7. Salton, G.; Yang, C.S.: On the specification of term values in automatic indexing (1973) 0.03 
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    Source
    Journal of documentation. 29(1973), S.351-372
  8. Borko, H.; Bernick, M.: Automatic document classification : T.1 (1963) 0.03 
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    Source
    Journal of the Association for Computing Machinery. 10(1963), S.151-162
  9. Croft, W.B.: Clustering large files of documents using the single link method (1977) 0.03 
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    Source
    Journal of the American Society for Information Science. 28(1977), S.341-344
  10. Yu, C.T.; Salton, G.: Precision weighting : an effective automatic indexing method (1976) 0.03 
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    Source
    Journal of the Association for Computing Machinery. 23(1976), S.76-88
  11. Garfield, E.; Sager, N.: Mechanical indexing, structural linguistics and information retrieval (1993) 0.03 
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    Source
    Journal of information science. 19(1993) no.2, S.164-165
  12. Humphrey, S.M.: Automatic indexing of documents from journal descriptors : a preliminary investigation (1999) 0.03 
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    Abstract
    A new, fully automated approach for indedexing documents is presented based on associating textwords in a training set of bibliographic citations with the indexing of journals. This journal-level indexing is in the form of a consistent, timely set of journal descriptors (JDs) indexing the individual journals themselves. This indexing is maintained in journal records in a serials authority database. The advantage of this novel approach is that the training set does not depend on previous manual indexing of thousands of documents (i.e., any such indexing already in the training set is not used), but rather the relatively small intellectual effort of indexing at the journal level, usually a matter of a few thousand unique journals for which retrospective indexing to maintain consistency and currency may be feasible. If successful, JD indexing would provide topical categorization of documents outside the training set, i.e., journal articles, monographs, Web documents, reports from the grey literature, etc., and therefore be applied in searching. Because JDs are quite general, corresponding to subject domains, their most problable use would be for improving or refining search results
    Source
    Journal of the American Society for Information Science. 50(1999) no.8, S.661-674
  13. Thönssen, B.: Automatische Indexierung und Schnittstellen zu Thesauri (1988) 0.03 
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    Abstract
    Über eine Schnittstelle zwischen Programmen zur automatischen Indexierung (PRIMUS-IDX) und zur maschinellen Thesaurusverwaltung (INDEX) sollen große Textmengen schnell, kostengünstig und konsistent erschlossen und verbesserte Recherchemöglichkeiten geschaffen werden. Zielvorstellung ist ein Verfahren, das auf PCs ablauffähig ist und speziell deutschsprachige Texte bearbeiten kann
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  14. Hauer, M.: Neue Qualitäten in Bibliotheken : Durch Content-Ergänzung, maschinelle Indexierung und modernes Information Retrieval können Recherchen in Bibliothekskatalogen deutlich verbessert werden (2004) 0.02 
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    Abstract
    Seit Frühjahr 2004 ist Dandelon.com als neues, offenes, internationales Wissenschaftsportal in Betrieb. Erste Retrieval-Tests bescheinigen deutlich bessere Suchergebnisse als in herkömmlichen OPACs oder Verbundsystemen. Seine Daten stammen aus intelligentCAPTURE und Bibliothekskatalogen. intelligentCAPTURE erfasst Content über Scanning oder File-Import oder Web-Spidering und indexiert nach morphosyntaktischen und semantischen Verfahren. Aufbereiteter Content und Indexate gehen an Bibliothekssysteme und an dandelon.com. Dandelon.com ist kostenlos zugänglich für Endbenutzer und ist zugleich Austauschzentrale und Katalogerweiterung für angeschlossene Bibliotheken. Neue Inhalte können so kostengünstig und performant erschlossen werden.
  15. Strobel, S.; Marín-Arraiza, P.: Metadata for scientific audiovisual media : current practices and perspectives of the TIB / AV-portal (2015) 0.02 
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    Abstract
    Descriptive metadata play a key role in finding relevant search results in large amounts of unstructured data. However, current scientific audiovisual media are provided with little metadata, which makes them hard to find, let alone individual sequences. In this paper, the TIB / AV-Portal is presented as a use case where methods concerning the automatic generation of metadata, a semantic search and cross-lingual retrieval (German/English) have already been applied. These methods result in a better discoverability of the scientific audiovisual media hosted in the portal. Text, speech, and image content of the video are automatically indexed by specialised GND (Gemeinsame Normdatei) subject headings. A semantic search is established based on properties of the GND ontology. The cross-lingual retrieval uses English 'translations' that were derived by an ontology mapping (DBpedia i. a.). Further ways of increasing the discoverability and reuse of the metadata are publishing them as Linked Open Data and interlinking them with other data sets.
  16. Golub, K.: Automatic subject indexing of text (2019) 0.02 
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    Abstract
    Automatic subject indexing addresses problems of scale and sustainability and can be at the same time used to enrich existing metadata records, establish more connections across and between resources from various metadata and resource collec-tions, and enhance consistency of the metadata. In this work, au-tomatic subject indexing focuses on assigning index terms or classes from established knowledge organization systems (KOSs) for subject indexing like thesauri, subject headings systems and classification systems. The following major approaches are dis-cussed, in terms of their similarities and differences, advantages and disadvantages for automatic assigned indexing from KOSs: "text categorization," "document clustering," and "document classification." Text categorization is perhaps the most wide-spread, machine-learning approach with what seems generally good reported performance. Document clustering automatically both creates groups of related documents and extracts names of subjects depicting the group at hand. Document classification re-uses the intellectual effort invested into creating a KOS for sub-ject indexing and even simple string-matching algorithms have been reported to achieve good results, because one concept can be described using a number of different terms, including equiv-alent, related, narrower and broader terms. Finally, applicability of automatic subject indexing to operative information systems and challenges of evaluation are outlined, suggesting the need for more research.
  17. Weidenbach, N.: Werkzeuge zur Evaluierung und Optimierung von Regeln zur Automatischen Indexierung : Anwendungssystementwicklung (1994) 0.02 
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    Imprint
    Darmstadt : Fachhochschule, Fachbereich Information und Dokumentation
  18. Experimentelles und praktisches Information Retrieval : Festschrift für Gerhard Lustig (1992) 0.02 
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    Content
    Enthält die Beiträge: SALTON, G.: Effective text understanding in information retrieval; KRAUSE, J.: Intelligentes Information retrieval; FUHR, N.: Konzepte zur Gestaltung zukünftiger Information-Retrieval-Systeme; HÜTHER, H.: Überlegungen zu einem mathematischen Modell für die Type-Token-, die Grundform-Token und die Grundform-Type-Relation; KNORZ, G.: Automatische Generierung inferentieller Links in und zwischen Hyperdokumenten; KONRAD, E.: Zur Effektivitätsbewertung von Information-Retrieval-Systemen; HENRICHS, N.: Retrievalunterstützung durch automatisch generierte Wortfelder; LÜCK, W., W. RITTBERGER u. M. SCHWANTNER: Der Einsatz des Automatischen Indexierungs- und Retrieval-System (AIR) im Fachinformationszentrum Karlsruhe; REIMER, U.: Verfahren der Automatischen Indexierung. Benötigtes Vorwissen und Ansätze zu seiner automatischen Akquisition: Ein Überblick; ENDRES-NIGGEMEYER, B.: Dokumentrepräsentation: Ein individuelles prozedurales Modell des Abstracting, des Indexierens und Klassifizierens; SEELBACH, D.: Zur Entwicklung von zwei- und mehrsprachigen lexikalischen Datenbanken und Terminologiedatenbanken; ZIMMERMANN, H.: Der Einfluß der Sprachbarrieren in Europa und Möglichkeiten zu ihrer Minderung; LENDERS, W.: Wörter zwischen Welt und Wissen; PANYR, J.: Frames, Thesauri und automatische Klassifikation (Clusteranalyse): HAHN, U.: Forschungsstrategien und Erkenntnisinteressen in der anwendungsorientierten automatischen Sprachverarbeitung. Überlegungen zu einer ingenieurorientierten Computerlinguistik; KUHLEN, R.: Hypertext und Information Retrieval - mehr als Browsing und Suche.
  19. Stock, M.: Textwortmethode und Übersetzungsrelation : Eine Methode zum Aufbau von kombinierten Literaturnachweis- und Terminologiedatenbanken (1989) 0.02 
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    Abstract
    Geisteswissenschaftliche Fachinformation erfordert eine enge Kooperation zwischen Literaturnachweis- und Terminologieinformationssystemen. Eine geeignete Dokumentationsmethode für die Auswertung geisteswissen- schaftlicher Literatur ist die Textwortwethode. Dem originalsprachig aufgenommenen Begriffsrepertoire ist ein einheitssprachiger Zugriff beizuordnen, der einerseits ein vollständiges und genaues Retrieval garantiert und andererseits den Aufbau fachspezifischer Wörterbücher vorantreibt
  20. Salton, G.: ¬A new comparison between conventional indexing (MEDLARS) and automatic text processing (SMART) (1972) 0.02 
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    Source
    Journal of the American Society for Information Science. 23(1972), S.75-84

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