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Knowledge organization literature. Selected items
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class 34 Classing and Indexing
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Sukula, S. K. – Indexing in electronic environment (Lang.: eng). - In: SRELS journal of information management, 44(2007)3, p.249-254. Fox, Violet. – Cataloging News (Lang.: eng). - In: Cataloging & Classification Quarterly, 53(2015)1, pp. 123-133. Faraj, N., Godin, R., Missaoui, R., David, S., Plante, P. – Analysis of an automatic indexing method based on syntactic analysis of text (Lang.: eng). - In: Canadian journal of information and library science Vol.21, No.1 1996, p. 1-21. Leiva, I.G., Munoz, J.V.R. – Tendencias en los sistemas de indizacion automatica : estudio evolutivo [Tendencies in computerized indexing systems: an evolutionary study] (Lang.: spa). - In: Revista Interamaricana de Bibliotecologia, 19(1996)1, p.31-51. Leiva, I.G., Rodriguez Muñoz, J.V. – De la indización humana a la indización automática [From human to automatic indexing] (Lang.: spa). - In: Organización del Conociemto en Sistemas de Información y Documentación, 2(1997),p.201-215. History of automatic indexing. Methods used for indexing of text and of multimediaGiménez Toledo, E.R., Marcos Mora, M.C., Sánchez Coro, E., Santos Valera, S. – Bibliotecas infantiles : catálogos automatizados a la medida [OPAC's for children libraries] (Lang.: spa). - In: Organización del Conociemto en Sistemas de Información y Documentación, 2(1997),p.217-221. Qili, W., Zhaohui, L. – A discussion about automatic classification and indexing (Lang.: chi). - In: Journal of the China Society for Scientific and Technical Information, 18(1999)1, p.33-36. Suqing, C., Fuhu, Z., Huanguang, C. – A mathematical model for automatic Chinese text categorization (Lang.: chi). - In: Journal of the China Society for Scientific and Technical Information, 18(1999)1, p.27-32. Tsareva, P.V. – Algoritmy dlya raspoznavaniya pozitivnykh i negativnykh vkhozhdenii deskriptorov v tekst i protsedura avtomaticheskoi klassifikatsii tekstov [Algorithms for selection of positive and negative descriptors from text and automated text indexing] (Lang.: rus). - In: Nauchno-Teknicheskaya Informatsiya. Series 2, (1999)12, p.15-27. Selisskaya, M.A. – Ispol'zovanie mashinnogo obucheniya pri avtomaticheskoi klassifikatsii tekstov [Machine learning as a tool for development of automated text indexing systems] (Lang.: rus). - In: Nauchno-Teknicheskaya Informatsiya. Series 2, (1999)12, p.28-33. Belonogov, G.G., [et al.]. – Metod analogii v komputernoi [The analog method in computer linguistics] (Lang.: rus). - In: Nauchno-Teknicheskaya Informatsiya. Series 2, (2000)1, p.21-31. Wang, L.-M., Li, X.-L., Cao, C.-H., Yuan, S.-M. – Combining decision tree and Naive Bayes for classification (Lang.: eng). - In: Knowledge-Based Systems, 19(2006)7, p.511-515. Connelly, J. – Functional taxonomies: myth or magic? (Lang.: eng). - In: Records Management Bulletin, 142(2008), p.10-15. Liu, R.-L. – Interactive high-quality text classification (Lang.: eng). - In: Information Processing and Management, 44(2008)3, p.1062-1075. Ying Liu, Han Tong Loh, Sun, A. – Imbalanced text classification: a term weighting approach (Lang.: eng). - In: Expert systems with applications, 36(2009)1, pp.690-701. Lengyelné Molnár Tünde. – Emberi vagy gépi kivonatolás? [Abstracting by people or computers? – A research project comparing the efficiency of the human creation of abstracts and automated abstracting] (Lang.: hun). - In: Tudományos és Műszaki Tájékoztatás, 56(2009)10. – Available at Song, W. et al. – Intelligent information retrieval system using automatic thesaurus construction (Lang.: eng). - In: International journal of general systems, 40(2011)4, pp. 395-415. Paukkeri, M. S., et al. – Learning a taxonomy from a set of text documents (Lang.: eng). - In: Applied soft computing, 12(2012)3, pp. 1138-1148. Lepsky, K.. – Maschinelle Indexierung von Titelaufnahmen zur Verbesserung der sachlichen Erschließung in Online-Publikumskatalogen [Machine indexing of bibliographic records to improve subject access in OPACs"] (Lang.: ger). - In: Kölner Arb.Bibl.u.Dok.wes.. 18.Köln,DE, Greven, 1994. – pp. V,121 . – ISBN: 3774305722. Fournier, A. – Les enjeux de l'indexation automatisée [Application possibilities for automatic indexing] (Lang.: fre). - Paris, INTF, 1994. – pp. 97.(Mémoire DESS). Perry,S.A.; Willett, P. – A review of the use of inverted files for best match searching in information retrieval systems (Lang.: eng). - In: Document Retrieval Systems.1988.p.124-131.London, Taylor Graham, Silva, W.T.da; Milidiu, R.L. – Belief function model for information retrieval (Lang.: eng). - In: J.Amer.Soc.Inform.Sci.Vol.44.No.1.1993.p.10-18. Proposal to use the Belief Function Model for automatic indexing and ranking with respect to a given user query.The model is based on a controlled vocabulary and on term frequencies in each document.It is wider in scope than the Standard Vector Space M odelGarfield, E.. – The relationship between mechanical indexing, structural linguistics and information retrieval (Lang.: eng). - In: J.Inform.Sci.Vol. 18 No. 5. 1992. p.343-54. Garfield, E.; Sager, N.. – Mechanical indexing, structural linguistics, and information retrieval (Lang.: eng). - In: J.Inform.Sci.Vol. 19 No. 2. 1993. p.164-165. Silva, W.T.da; Milidiu, R.L.. – Belief function model for information retrieval (Lang.: eng). - In: J.Amer.Soc.Inform.Sci.. Vol. 44. No. 1. p.10-18. Proposal to use the Belief Function Model for automatic indexing and ranking with respect to a given user query. The model is based on a controlled vocabulary and on term frequencies in each document. It is wider in scope than the Standard Vector Space Model.Bartell, B.T.; Cottrell, G.W., Belew, R.K. – Representing documents using an explicit model of their similarities (Lang.: eng). - In: J.Amer.Soc.Inform.Sci. Vol. 46. No. 4. 1995. p.254-271. Mähl, A. – Lernfähige Algorithmen zur automatischen Inhalterschliessung [Adaptive algorithms for automatic contents analysis] (Lang.: ger). - In: Wissensch.Z., Ilmenau.Vol.35.No.5.1989.p.129-133. Womser-Hacker, C. – Book review of Fuhr, N.: Probabilistisches Indexing and Retrieval.Karlsruhe: Fachinform.Zentrum 1988 (Lang.: ger). - In: Nachr.Dok.Vol.40.No.6.1989.p.388-389. Slivnitsina, N.A.; Khondkarian, G.N.. – Choosing and designing an automatic indexing system for MIAS (Lang.: rus). - In: VNII Mezhotrasl.Inform. No. 2. 19990. p.49-53. Fernández Peña, Félix; Acosta Sánchez, Rolando; Ponce Toste, Yudit . – ViewOnto: conceptual model for the automatic generation of data visualizations [ViewOnto: conceptual model for the automatic generation of data visualizations] (Lang.: s). - In: Ciencias de la Información 46(2015)1, pp. 19-25. – Available at Franke-Maier, Michael; Ledl, Andreas. – Editorial: Computerlinguistik und Bibliotheken [Editorial: computer linguistics and libraries] (Lang.: ger). - In: 027.7 Zeitschrift für Bibliothekskultur, 4(2016)2, pp. 42-47. – Available at Golub, Koraljka; Soergel, Dagobert; Buchanan, George; Tudhope, Douglas; Lykke, Marianne; Hiom, Debra. – A framework for evaluating automatic indexing or classification in the context of retrieval (Lang.: eng). - In: Journal of the Association for Information Science and Technology, 67(2016)1, pp. 3-16.Hoboken, NJ, John Wiley & Sons, Inc., 2016. – pp. 13. – Available at ISSN: 15322890Gil-Leiva, Isidoro. – SISA--automatic indexing system for scientific articles: experiments with location heuristics rules versus tf-idf rule (Lang.: eng). - In: Knowledge Organization,44(2017)3, pp. 139-162.Würzburg, DE, Ergon-Verlag, 2017. – pp. 24. ISSN: 09437444; 8 Color Photographs, 4 Diagrams, 11 Charts, 1 GraphParrochia, Daniel. – Mathematical Theory of Classification (Lang.: eng). - In: Knowledge Organization, 44(2017)7, pp. 184-201. – Available at Nascimento, Gustavo Diniz do; Correa, Renato Fernandes . – Seleção de sintagmas nominais na indexação automática [Noun phase selection in automatic indexing] (Lang.: por). - In: Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, 24(2019)55. – Available at Larouk, O.; Bouchhé, R.. – Apports de la linguistique ete des logiques dans la conception d'interface de bases de données textuelles [Contributions of linguistics and logics in the interface design of textul databases] (Lang.: fre). - In: Les sciences cognitives. Colloque. Pluridisciplinarité dans les sciences cognitives, Lyon, 11-12 Juin 1992. - Paris: Hermès,1993. p.142-160. RodrÃguez Bravo, Ãngel; Manchón, LluÃs Mas. – Inventario de palabras clave temáticas para la clasificación automática de noticias de televisión (Lang.: spa). - In: Anales de Documentación, 14(2011)2.Murcia, ES, Departamento de Información y Documentación de la Universidad de Murcia, 2012. – pp. 11. – Available at ISSN: 16977904Bougouin, Adrien; Boudin, Florian. – TopicRank : ordonnancement de sujets pour l’extraction automatique de termes-clés (Lang.: fr). - In: Traitement Automatique des Langues, ATALA, 2014, pp.45-69.Villeurbanne, FR, The Center for Direct Scientific Communication (CCSD), 2014. – pp. 26. – Available at Lundquist, C. – A parallel relational database management system approach to relevance feedback in information retrieval (Lang.: eng). - In: Journal of the American Society for Information Science, 50(1999)5,p.413-426. Swanson, D.R. – Historical note: information retrieval and the future of an illusion (Lang.: eng). - In: Readings in information retrieval San Francisco : Morgan Kaufmann Publishers, Inc., 1997. xv, 589 p. ISBN: 1558604545 [see 1997-4-0487] p.553-561. Orig. publ. in: Journal of the American society for information science. 39(1988), p.92-98Weiner, M.L., Liddy, E.D. – Intelligence text processing, and intelligence tradecraft (Lang.: eng). - In: From classification to knowledge organization : Dorking revisited or past is prelude : a collection of reprints to commemorate the forty year span between the Dorking Conference (First international study conference on classification research 1957) and the Sixth International study conference on classification research (London, UK) 1997 [see 1997-3-353] p.161-168. Orig. publ. in The journal of AGSI July 1995Mock, K.J., Vemuri, V.R. – Information filtering via hill climbing, WordNet, and index patterns (Lang.: eng). - In: Informtion Processing & Management, 33(1997)5,p.633-644. Liu, S., Liu, F., Yu, C., Meng, W. – An effective approach to document retrieval via utilizing WordNet and recognizing phrases (Lang.: eng). - In: SIGIR'04. Proceedings of the 27th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval [see 2004-0005], p. 266-272. Smeaton, A.F., Kelledy, L., O'Donnell, R. – TREC-4 experiments at Dublin City University: Thresholding posting lists, query expansion with WordNet and POS tagging of Spanish (Lang.: eng). - In: The fourth text retrieval conference (TREC-4) 1996, p.373-389. Kelledy, L., Smeaton, A.F. – TREC-5 experiments at Dublin City University : Query space reduction, Spanish & character shape encoding (Lang.: eng). - In: The fifth text retrieval conference (TREC-5 Gaithersburg: NIST, 1997), p.197-207. Buckley, Chr., Singhal, A., Mitra, M., Salton, G. – New retrieval approaches using SMART: TREC 4 (Lang.: eng). - In: The fourth text retrieval conference (TREC-4) 1996, p.25-48. Buckley, C., Singhal, A., Mitra, M. – Using query zoning and correlation within SMART : TREC 5 (Lang.: eng). - In: The fifth text retrieval conference (TREC-5 Gaithersburg: NIST, 1997), p.25-48. Singhal, A. – AT & T at TREC-6 (Lang.: eng). - In: The sixth text retrieval conference (TREC-6), (1998)p.215-225. Buckley, C., Mitra, M., Walz, J., Cardie, C. – Using clustering and superconcepts within SMART : TREC-6 (Lang.: eng). - In: The sixth text retrieval conference (TREC-6), (1998)p.107-124. Buckley, C., Mitra, M., Walz, J., Cardie, C. – Using clustering and SuperConcepts within SMART : TREC 6 (Lang.: eng). - In: Information Processing & Management, 36(2000)1, p.109-131. Gutiérrez García, B., Rodríguez Yunta, L., Román Román, A. – Bases de datos bibliográficas y clasificación de revistas científicas: problemas de la interisciplinariedad para la automatización de procesos [Bibliographic databases and the classification of learned journals: problem of interdisciplinarity for automating procedures ontology] (Lang.: spa). - In: La interdisciplinariedad y la transdisciplinariedad en la organización del conocimiento científico [see 2007-0224], p.411-421. Golub, K. – Automated subject classification of textual web documents (Lang.: eng). - In: Journal of Documentation, 62(2006)3, p.350-371. Golub, K. – Automated subject classification of textual Web pages, based on a controlled vocabulary : challenges and recommendations (Lang.: eng). - In: The New Review of Hypermedia and Multimedia, 12(2006)1, p.29-49. Rotto, E.; Morgan, R.P. – An exploration of expert based text analysis techniques for assessing industrial relevance in US engineering dissertation abstracts (Lang.: ). - In: Scientometrics 1997(40)1,p.83-102. Lau, R.Y.K., Bruza, P.D., Song, D. – Belief revision for adaptive information retrieval (Lang.: eng). - In: SIGIR'04. Proceedings of the 27th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval [see 2004-0005], p. 130-137. Kim, H., Lee, H., Seo, J. – A reliable FAQ retrieval system using a query log classification technique based on latent semantic analysis (Lang.: eng). - In: Information Processing & Management, 43(2007)2, p.420-430. BeDell, Suzanne, Trudell, Libby. – Does taxonomy matter in a new world of search and discovery? (Lang.: eng). - In: Online, 34(2010)5, pp. 22-24. Schmidt-Schaub, M.; Smolka, G. – Attributive concept descriptions with complements (Lang.: eng). - In: Artificial Intelligence.Vol.48.No.1.1991.p.1-26. Biru, T.; El-Hamdouchi, A., Rees, T.S., Willett, P. – Inclusion of relevance information in the term discrimination model (Lang.: eng). - In: J.Doc.Vol.45.No.2.1989.p.85-109. Biru, T.; El-Hamdouchi, A., Rees, R.S., Willett, P. – Inclusion of relevance information in the term discrimination model (Lang.: eng). - In: J.Doc.Vol.45.No.2.1989.p.85-109. Nelson, M.J. – Stochastic models for the distribution of index terms (Lang.: eng). - In: J.Doc.Vol.45.No.3.1989.p.227-237. Srinivasan, P. – A comparison of two-poisson, inverse document frequency and discrimination value models of document representation (Lang.: eng). - In: Inform.Process.& Management.Vol.26.No.2.1990.p.269-278. Schmidt-Schaub, M.; Smolka, G.. – Attributive concept descriptions with complements (Lang.: eng). - In: Artificial Intelligence. Vol. 48. No. 1. p.1-26. Ye, Zheng; He, Ben; Wang, Lifeng; Luo, Tiejian. – Utilizing term proximity for blog post retrieval (Lang.: eng). - In: Journal of the American Society for Information Science & Technology, 64(2013)11, pp. 2278-2298. Koppel, Moshe; Winter, Yaron. – Determining if two documents are written by the same author (Lang.: eng). - In: Journal of the Association for Information Science and Technology, 65(2014)1, pp. 178-87.. Damerau, F.J.. – Generating and evaluating domain-oriented multi-word terms from texts (Lang.: eng). - In: Inform.Process.& ManagementVol. 29 No. 4. 1993. p.433-447. Abdelali, A., Cowie, J., Soliman, H.S. – Improving query precision using semantic expansion (Lang.: eng). - In: Information processing and management, 43(2007)3, p.705-716. Fizames, C. – How to improve the medical quality of the coding reports based on WHO-ART and COSTART use (Lang.: eng). - In: Drug Information Journal 31(1997)1. p.85-92. Evaluation of an auto-encoding system, based on matching investigator's literal terms to an in house dictionary of synonyms linked to preferred terms in WHO-ART and COSTART. Efficiency and accuracy of the systems are far from optimal. The reasons for this finding are discussedLeung, C.H. Kan, W.K. – A statistical learning approach to automatic indexing of controlled index terms (Lang.: eng). - In: Journal of the American Society for Information Science 48(1997)1. p.55-66. Kuikka, E., Salminen, A. – Two dimensional filters for structured text (Lang.: eng). - In: Information Processing & Management 33(1997)1. p.37-54. Bordoni, L., Pazienza, M.T. – Documents automatic indexing in an environmental domain (Lang.: eng). - In: International Forum on Information and Documentation 22(1997)1. p.17-28. Lehto, M.R., Sorock, G.S. – Machine learning of motor vehicle accident categories from narrative data (Lang.: eng). - In: Methods of Information in Medicine 35(1996)4-5. p.309-316. Salton, G., Wong, A., Yang, C.S. – A vector space model for automatic indexing (Lang.: eng). - In: Readings in information retrieval San Francisco : Morgan Kaufmann Publishers, Inc., 1997. xv, 589 p. ISBN: 1558604545 [see 1997-4-0487] p.273-280. Orig. publ. in: Communications of the ACM 18(1975) p.613-620Kim, P.K. – An automatic indexing of compound words based on mutual information for Korean text retrieval (Lang.: ). - In: Library and Information Science 1995(34),p. 29-38. Hmeidi, I., Kanaan, G., Evens, M. – Design and implementation of automatic indexing for information retrieval with Arabic documents (Lang.: eng). - In: Journal of the American Society for Information Science, 48(1997)10,p.867-881. Froissart, C., Lallich-Boidin, G. – Towards structuring of indexing vocabulary for large technical documents (Lang.: eng). - In: Structures and Relations in Knowledge Organization : Proceedings of the 5th International ISKO Conference 25-29 August 1998 Lille, France. Würzburg : Ergon Verlag, 1998, p.285-292. Mounier, E., Paganelli, C. – Text structure and information retrieval in large documents (Lang.: eng). - In: Structures and Relations in Knowledge Organization : Proceedings of the 5th International ISKO Conference 25-29 August 1998 Lille, France. Würzburg : Ergon Verlag, 1998, p.312-318. Litkowsi, K.C. – Category development based on semantic principles (Lang.: eng). - In: Social Science Computer Review, 15(1997)4,p.394-409. Afanas'ev, A.F., Klimow, V.N. – Avtomatizirovannaya sistema upravleniya protsessom razrabotki zakonov [An automated system for the management of legislation development] (Lang.: rus). - In: Nauchno-Teknicheskaya Informatsiya. Series I, (1997)10,p.36-40. Miller, M.M. – Frame mapping and analysis of news coverage of contentious issues (Lang.: eng). - In: Social Science Computer Review, 15(1997)4,p.367-378. Dow Jones unveils knowledge indexing system (Lang.: eng). - In: Advanced Technology Libraries, 26(1997)5,p.2-3. Losee, R. M. – Is 1 noun worth 2 adjectives? Measuring relative feature utility (Lang.: eng). - In: Information Processing & Management, 42(2006)5, p.1248-1259. Arazy, O., Woo, C. – Enhancing information retrieval through statistical natural language processing: a study of collocation indexing (Lang.: eng). - In: MIS Quarterly, 31(2007)3, p.525-547. Kastner, Itamar. – Developments in information retrieval: Part 1 (Lang.: eng). - In: Library + information update, (Dec 2009) pp. 17-19. Xu, Yang, Bernard, Alain. – Knowledge organization through statistical computation: a new approach (Lang.: eng). - In: Knowledge organization, 36(2009)4, pp. 227-239. Ke, Xiao, Guohe, Feng. – [A statistical analysis of papers on text categorization from 1999 to 2008 in China ] (Lang.: chi). - In: Journal of the China Society for Scientific and Technical Information, 29(2010)4, pp. 679-687. Heid, Ulrich. – Computerlinguistik zwischen Informationswissenschaft und multilingualer Kommunikation [Computational linguistics, information science and multilingual communication: opportunities for interaction] (Lang.: ger). - In: Information: Wissenschaft & Praxis, 61(2010)6/7, pp. 361-366. Chaturvedi, Setu, Swami, K. D. K., Singh, Gulab. – Dirichlet distribution with centroid model (DDCM) based summarization technique for web document classification (Lang.: eng). - In: COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference. New York, ACM, 2011. Lee, L. H. – An enhanced Support Vector Machine classification framework by using Euclidean distance function for text document categorization (Lang.: eng). - In: Applied intelligence, 37(2012)1, pp. 80-99. Rubin, T. N., et al. – Statistical topic models for multi-label document classification (Lang.: eng). - In: Machine learning, 88(2012)1-2, pp. 157-208. Wan, C. H., et al. – A hybrid text classification approach with low dependency on parameter by integrating K-nearest neighbor and support vector machine (Lang.: eng). - In: Expert systems with applications, 39(2012)15, pp.11880-11888. Kimoto, H.. – Natural language processing and its application to Japanese database - the INDEXER system (Lang.: eng). - In: Int.Conf.on Japanese Information in Science, Technology and Commerce, Vandoeuvre-lès Nancy, May 15-18, 1991. 1991. p.447-460.Vandoeuvre-lès-Nancy, INIST, Haas, St.W.; He, Shaoyi. – Toward the automatic identification of sublanguage vocabulary (Lang.: eng). - In: Inform.Process.& Management.Vol.29.No.6.1993.p.721-732. Jones, L.P.; Bessonet, C.de, Sukhamay, K. – ALLOY: an amalgamation of expert, linguistic, and statistical indexing methods (Lang.: eng). - In: 11th Int.Conf.Res.& Dev.Inform.Retrieval, Grenoble, 13-15 June 1988.1988.p.191-199.Grenoble, FR, Roux, D.I.. – The computerized database in the central collection (Lang.: eng). - In: Cape LibrarianVol. 35 No. 9. 1991. p.19-20. Haas, St.W.; He, Shaoyi. – Toward the automatic identification of sublanguage vocabulary (Lang.: eng). - In: Inform.Process.& Management. Vol. 29. No. 6. p.721-732. Cohen, J.D. – Highlights: Language- and domain-independent automatic indexing terms for abstracting (Lang.: eng). - In: J.Amer.Soc.Inform.Sci. Vol. 46. No. 3. 1995. p.162-174. The method applied uses n-gram counts, achieving a function similar to, but more general than, a stemmer. The generated index terms, which the author calls 'highlights', are suitable for identifying the topic for perusal and selection. Some experiemental. results are presented, showing operation in English, Spanish, German, Georgian, Russian, and Japanese. (Author, abbr.)Harada, T.; Maruyama, H., Satch, M., Hosono, K., Morohashi,M.. – Automatic selection of the subject bearing sentences from abstracts (Lang.: jap). - In: Libr.Inform.Sci. (Japan) No. 29. 1991. p.125-137. Celli, Fabrizio; Keizer, Johannes. – Enabling multilingual search through controlled vocabularies: the AGRIS approach (Lang.: eng). - In: e-LIS [e-prints in library & information science].e-LIS Editorial Team, 2016. – pp. 12. – Available at Ferreira, Raoni S.; Pimentel, Maria da Graça; Cristo, Marco . – A wikification prediction model based on the combination of latent, dyadic, and monadic features (Lang.: eng). - In: Journal of the Association for Information Science and Technology, 69(2017)3, pp. 380-394. – Available at Polanco, X; Schmitt, L., Besagni, D., Grivel, L.. – A la recherche de la diversité perdue: est-il possible de mettre en évidence les éléments hétérogènes d'un front de recherche? [In search of the lost diversity: Is it possible to display the heterogeneous elements of a research front?] (Lang.: fre). - In: Les Systèmes d'Informations Elaborées, Journées, 5-7 Juin 1991, Ile-Rousse, France. 1991. p.273-292. Salton, G.; Allen, J.; Buckley, C.; Singhal, A.. – Automatic analysis, theme generation, and summarization of machine-readable data (Lang.: eng). - In: Science. 264(1994)5164,p.1421-1426. Evans, D.A.; Ginther-Webster, K., Hart, M., Lefferts, R.G.et al. – Automatic indexing using selective NLP and first-order thesauri (Lang.: eng). - In: RIAO 91: Computer aided information retrieval. Conf.Barcelona, April 2-5, 1991Vol. 2. 1991. p.624-643. Haas, S.W.. – A text filter for the automatic identification of empirical articles (Lang.: eng). - In: J. Amer.Soc.Inform.Sci. Vol. 47, No. 2. 1995. p.167-9. Slivnitsina, N.A.; Khondkarian, G.N.. – Current status of automatic indexing dictionary aids in MIAS: An analysis (Lang.: rus). - In: VNII Mezhotrasl.inform. No. 3. 1990. p.43-50. | 11345 1993-0180 | 343, 879, 362 |
Thiel, T.J.. – Automated indexing of document image management systems (Lang.: eng). - In: Doc.Image Autom.Vol. 12 No. 2. 1992. p.43-49. Sobrinho, Heliomar Cavati; Fujita, Mariângela Spotti Lopes. – Aplicação do modelo metodológico integrado para inovação no ensino da construção de linguagens documentárias no curso de graduação em Biblioteconomia [Aplication of the integrated methodological model for innovation in the construction of documentary languages in undergrad courses in Library Science] (Lang.: por). - In: DesafÃÂos y oportunidades de las Ciencias de la Información y la Documentación en la era digital: actas del VII Encuentro Ibérico EDICIC 2015 (Madrid, 16 y 17 de noviembre de 2015). – Available at Wan, T.L. – Experiments with automatic indexing and a relational thesaurus in a Chinese information retrieval system (Lang.: eng). - In: Journal of the American Society for Information Science, 48(1997)12,p.1086-1096. Ruocco, A.S., Frieder, O. – Clustering and classification of large document bases in a parallel environment (Lang.: eng). - In: Journal of the American Society for Information Science, 48(1997)10,p.932-943. French, J.C., Knight, J.C., Powell, A.L. – Applying hypertext structures to software documentation (Lang.: eng). - In: Information Processing & Management 33 (1997)2. p.145-159. Burnett, M., Fisher, C., Jones, R. – InTEXT precision indexing in TREC4 (Lang.: eng). - In: The fourth text retrieval conference (TREC-4) 1996, p.287-294. Huffman, St. – Acquaintance: Language-independent document categorization by N-grams (Lang.: eng). - In: The fourth text retrieval conference (TREC-4) 1996, p.359-371. Grossman, D.A., Holmes, D.O., Frieder, O., Nguyen, M.D., Kingsbury, Chr.E. – Improving acuracy and run-time performance for TREC-4 (Lang.: eng). - In: The fourth text retrieval conference (TREC-4) 1996, p. 433-441. 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