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Chevallet, J.-P.; Bruandet, M.F.: Impact de l'utilisation de multi terms sur la qualité des résponses dùn système de recherche d'information a indexation automatique (1999)
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- Imprint
- Lille : Université Charles-de-Gaulle
- Source
- Organisation des connaissances en vue de leur intégration dans les systèmes de représentation et de recherche d'information. Ed.: J. Maniez, et al
- Type
- a
-
Fournier, A.: ¬Les enjeux de l'indexation automatisée (1994)
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-
Junger, U.; Schwens, U.: ¬Die inhaltliche Erschließung des schriftlichen kulturellen Erbes auf dem Weg in die Zukunft : Automatische Vergabe von Schlagwörtern in der Deutschen Nationalbibliothek (2017)
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- Date
- 19. 8.2017 9:24:22
- Source
- http://www.dnb.de/SharedDocs/Downloads/DE/DNB/inhaltserschliessung/automatischeInhaltserschliessung.pdf?__blob=publicationFile
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- a
-
Konings, E.; Gramsbergen, E.: Automatische onderwerpsondexering van een bibliotheekscatalogus : Ervaringen van de Bibliotheek TU Delft (1999)
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- Abstract
- Geautomatiseerde indexeringsmethoden blijken veelal moeilijk toepasbaar op tekstarme systemen als bibliotheekcatalogi, zo werd de Bibliotheek van de Technische Universiteit Delft na inventarisatie en onderzoek duidelijk. Kees Konings en Egbert Gramsbergen doen verslag van hun bevindingen.
- Footnote
- Übers. d. Titels: Experiences at Delft Technical University: automatic subject indexing of a library catalogue
- Type
- a
-
Martins, A.L.; Souza, R.R.; Ribeiro de Mello, H.: ¬The use of noun phrases in information retrieval : proposing a mechanism for automatic classification (2014)
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- Abstract
- This paper presents a research on syntactic structures known as noun phrases (NP) being applied to increase the effectiveness and efficiency of the mechanisms for the document's classification. Our hypothesis is the fact that the NP can be used instead of single words as a semantic aggregator to reduce the number of words that will be used for the classification system without losing its semantic coverage, increasing its efficiency. The experiment divided the documents classification process in three phases: a) NP preprocessing b) system training; and c) classification experiments. In the first step, a corpus of digitalized texts was submitted to a natural language processing platform1 in which the part-of-speech tagging was done, and them PERL scripts pertaining to the PALAVRAS package were used to extract the Noun Phrases. The preprocessing also involved the tasks of a) removing NP low meaning pre-modifiers, as quantifiers; b) identification of synonyms and corresponding substitution for common hyperonyms; and c) stemming of the relevant words contained in the NP, for similitude checking with other NPs. The first tests with the resulting documents have demonstrated its effectiveness. We have compared the structural similarity of the documents before and after the whole pre-processing steps of phase one. The texts maintained the consistency with the original and have kept the readability. The second phase involves submitting the modified documents to a SVM algorithm to identify clusters and classify the documents. The classification rules are to be established using a machine learning approach. Finally, tests will be conducted to check the effectiveness of the whole process.
- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
- Type
- a
-
Lepsky, K.: Automatische Indexierung in der Inhaltserschließung (1998)
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- Source
- 7e dag van het document, 19 & 20 mei 1998. Congrescentrum De Reehorst, Ede. Red.: J.R. Creutzberg
- Type
- a
-
Gil-Leiva, I.; Munoz, J.V.R.: Analisis de los descriptores de diferentes areas del conocimiento indizades en bases de datos del CSIC : Aplicacion a la indizacion automatica (1997)
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- Source
- Revista Española de Documentaçion Cientifica. 20(1997) no.2, S.150-160
- Type
- a
-
Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986)
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- Source
- Information processing and management. 22(1986) no.6, S.465-476
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Leyva, I.G.; Munoz, J.V.R.: Tendencias en los sistemas de indizacion automatica : estudio evolutivo (1996)
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- Source
- Revista interamericana de bibliotecologia. 19(1996) no.1, S.31.51
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Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984)
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- Date
- 20.10.2000 12:22:23
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Hlava, M.M.K.: Automatic indexing : comparing rule-based and statistics-based indexing systems (2005)
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- Source
- Information outlook. 9(2005) no.8, S.22-23
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Souza, R.R.; Gil-Leiva, I.: Automatic indexing of scientific texts : a methodological comparison (2016)
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- Source
- Knowledge organization for a sustainable world: challenges and perspectives for cultural, scientific, and technological sharing in a connected society : proceedings of the Fourteenth International ISKO Conference 27-29 September 2016, Rio de Janeiro, Brazil / organized by International Society for Knowledge Organization (ISKO), ISKO-Brazil, São Paulo State University ; edited by José Augusto Chaves Guimarães, Suellen Oliveira Milani, Vera Dodebei
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Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986)
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- Date
- 14. 6.2015 22:12:44
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Hauer, M.: Automatische Indexierung (2000)
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- Source
- Wissen in Aktion: Wege des Knowledge Managements. 22. Online-Tagung der DGI, Frankfurt am Main, 2.-4.5.2000. Proceedings. Hrsg.: R. Schmidt
- Type
- a
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Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986)
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- 14. 6.2015 22:12:56
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Hauer, M.: Tiefenindexierung im Bibliothekskatalog : 17 Jahre intelligentCAPTURE (2019)
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- Source
- B.I.T.online. 22(2019) H.2, S.163-166
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- a
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Clavel, G.; Walther, F.; Walther, J.: Indexation automatique de fonds bibliotheconomiques (1993)
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- Abstract
- A discussion of developments to date in the field of computerized indexing, based on presentations given at a seminar held at the Institute of Policy Studies in Paris in Nov 91. The methods tested so far, based on a linguistic approach, whether using natural language or special thesauri, encounter the same central problem - they are only successful when applied to collections of similar types of documents covering very specific subject areas. Despite this, the search for some sort of universal indexing metalanguage continues. In the end, computerized indexing works best when used in conjunction with manual indexing - ideally in the hands of a trained library science professional, who can extract the maximum value from a collection of documents for a particular user population
- Type
- a
-
Faraj, N.: Analyse d'une methode d'indexation automatique basée sur une analyse syntaxique de texte (1996)
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- Abstract
- Evaluates an automatic indexing method based on syntactical text analysis combined with statistical analysis. Tests many combinations for the choice of term categories and weighting methods. The experiment, conducted on a software engineering corpus, shows systematic improvement in the use of syntactic term phrases compared to using only individual words as index terms
- Type
- a
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Kutschekmanesch, S.; Lutes, B.; Moelle, K.; Thiel, U.; Tzeras, K.: Automated multilingual indexing : a synthesis of rule-based and thesaurus-based methods (1998)
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- 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
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- a
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Stankovic, R. et al.: Indexing of textual databases based on lexical resources : a case study for Serbian (2016)
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- Date
- 1. 2.2016 18:25:22
- Type
- a
