{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T03:46:07Z","timestamp":1768016767250,"version":"3.49.0"},"reference-count":44,"publisher":"Emerald","issue":"7","license":[{"start":{"date-parts":[[2015,11,9]],"date-time":"2015-11-09T00:00:00Z","timestamp":1447027200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,11,9]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 Controlled vocabularies play an important role in information retrieval. Numerous studies have shown that conceptual searches based on vocabularies are more effective than keyword searches, at least in certain contexts. Consequently, new ways must be found to improve controlled vocabularies. The purpose of this paper is to present a semi-automatic model for updating controlled vocabularies through the use of a text corpus and the analysis of query logs. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 An experimental development is presented in which, first, the suitability of a controlled vocabulary to a text corpus is examined. The keywords entered by users to access the text corpus are then compared with the descriptors used to index it. Finally, both the query logs and text corpus are processed to obtain a set of candidate terms to update the controlled vocabulary. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 This paper describes a model applicable both in the context of the text corpus of an online academic journal and to repositories and intranets. The model is able to: first, identify the queries that led users from a search engine to a relevant document; and second, process these queries to identify candidate terms for inclusion in a controlled vocabulary. <\/jats:p>\n <\/jats:sec>\n \n Research limitations\/implications<\/jats:title>\n \u2013 Ideally, the model should be used in controlled web environments, such as repositories, intranets or academic journals. <\/jats:p>\n <\/jats:sec>\n \n Social implications<\/jats:title>\n \u2013 The proposed model directly improves the indexing process by facilitating the maintenance and updating of controlled vocabularies. It so doing, it helps to optimise access to information. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 The proposed model takes into account the perspective of users by mining queries in order to propose candidate terms for inclusion in a controlled vocabulary.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/oir-06-2015-0180","type":"journal-article","created":{"date-parts":[[2015,10,28]],"date-time":"2015-10-28T09:11:45Z","timestamp":1446023505000},"page":"870-884","source":"Crossref","is-referenced-by-count":7,"title":["Updating controlled vocabularies by analysing query logs"],"prefix":"10.1108","volume":"39","author":[{"given":"Mari","family":"V\u00e1llez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael","family":"Pedraza-Jim\u00e9nez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Llu\u00eds","family":"Codina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sa\u00fal","family":"Blanco","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Crist\u00f2fol","family":"Rovira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020121920282345800_b1","doi-asserted-by":"crossref","unstructured":"Banerjee, S.\n and \n Pedersen, T.\n (2003), \u201cThe design, implementation, and use of the ngram statistics package\u201d, in \n Gelbukh, A.\n (Ed.), \n Computational Linguistics and Intelligent Text Processing\n , Lecture Notes in Computer Science: Vol. 2588, Springer, Berlin, pp. 370-381.","DOI":"10.1007\/3-540-36456-0_38"},{"key":"key2020121920282345800_b2","doi-asserted-by":"crossref","unstructured":"Beall, J.\n (2008), \u201cThe weaknesses of full-text searching\u201d, \n The Journal of Academic Librarianship\n , Vol. 34 No. 5, pp. 438-444.","DOI":"10.1016\/j.acalib.2008.06.007"},{"key":"key2020121920282345800_b3","doi-asserted-by":"crossref","unstructured":"Bird, S.\n (2006), \u201cNLTK: the Natural Language Toolkit\u201d, Proceedings of the 21st International Conference on Computational Linguistics, COLING-ACL\u201906, Association for Computational Linguistics, Stroudsburg, PA, pp. 69-72.","DOI":"10.3115\/1225403.1225421"},{"key":"key2020121920282345800_b4","doi-asserted-by":"crossref","unstructured":"Bowen, P.L.\n , \n O\u2019Farrell, R.A.\n and \n Rohde, F.H.\n (2009), \u201cAn empirical investigation of end-user query development: the effects of improved model expressiveness vs complexity\u201d, \n Information Systems Research\n , Vol. 20 No. 4, pp. 565-584.","DOI":"10.1287\/isre.1080.0181"},{"key":"key2020121920282345800_b5","unstructured":"Estop\u00e0, R.\n (1999), \u201cExtracci\u00f3 de terminologia: elements per a la construcci\u00f3 d\u2019un SEACUSE (Sistema d\u2019Extracci\u00f3 Autom\u00e0tica de Candidats a Unitats de Significaci\u00f3 Especialitzada)\u201d, Universitat Pompeu Fabra, Institut Universitari de Ling\u00fc\u00edstica Aplicada, Barcelona, available at: www.tdx.cat\/handle\/10803\/7489 (accessed 1 February 2015)."},{"key":"key2020121920282345800_b6","doi-asserted-by":"crossref","unstructured":"Gencosman, B.C.\n , \n Ozmutlu, H.C.\n and \n Ozmutlu, S.\n (2014), \u201cCharacter n-gram application for automatic new topic identification\u201d, \n Information Processing & Management\n , Vol. 50 No. 6, pp. 821-856.","DOI":"10.1016\/j.ipm.2014.06.005"},{"key":"key2020121920282345800_b7","doi-asserted-by":"crossref","unstructured":"Golik, W.\n , \n Bossy, R.\n , \n Ratkovic, Z.\n and \n Claire, N.\n (2013), \u201cImproving term extraction with linguistic analysis in the biomedical domain\u201d, in \n Gelbukh, A.\n (Ed.), \n Advances in Computational Linguistics\n , Vol. 70, Research in Computing Science, Centro de Investigaci\u00f3n en Computaci\u00f3n del IPN, pp. 157-172.","DOI":"10.13053\/rcs-70-1-12"},{"key":"key2020121920282345800_b8","doi-asserted-by":"crossref","unstructured":"Gross, T.\n and \n Taylor, A.G.\n (2005), \u201cWhat have we got to lose? The effect of controlled vocabulary on keyword searching results\u201d, \n College & Research Libraries\n , Vol. 66 No. 3, pp. 212-230.","DOI":"10.5860\/crl.66.3.212"},{"key":"key2020121920282345800_b9","doi-asserted-by":"crossref","unstructured":"Gross, T.\n , \n Taylor, A.G.\n and \n Joudrey, D.N.\n (2015), \u201cStill a lot to lose: the role of controlled vocabulary in keyword searching\u201d, \n Cataloging & Classification Quarterly\n , Vol. 53 No. 1, pp. 1-39.","DOI":"10.1080\/01639374.2014.917447"},{"key":"key2020121920282345800_b10","doi-asserted-by":"crossref","unstructured":"Haniewicz, K.\n (2012), \u201cLocal controlled vocabulary for modern web service description\u201d, in \n Rutkowski, L.\n , \n Korytkowski, M.\n , \n Scherer, R.\n , \n Tadeusiewicz, R.\n , \n Zadeh, L.A.\n and \n Zurada, J.M.\n (Eds), \n Artificial Intelligence and Soft Computing\n , Lecture Notes in Computer Science: Vol. 7267, Springer, Berlin, pp. 639-646.","DOI":"10.1007\/978-3-642-29347-4_74"},{"key":"key2020121920282345800_b11","doi-asserted-by":"crossref","unstructured":"Hj\u00f8rland, B.\n (2012), \u201cIs classification necessary after Google?\u201d, \n Journal of Documentation\n , Vol. 68 No. 3, pp. 299-317.","DOI":"10.1108\/00220411211225557"},{"key":"key2020121920282345800_b12","doi-asserted-by":"crossref","unstructured":"Huntington, P.\n , \n Nicholas, D.\n and \n Jamali, H.R.\n (2008), \u201cWebsite usage metrics: a re-assessment of session data\u201d, \n Information Processing & Management\n , Vol. 44 No. 1, pp. 358-372. doi: 10.1016\/j.ipm.2007.03.003.","DOI":"10.1016\/j.ipm.2007.03.003"},{"key":"key2020121920282345800_b13","unstructured":"IDC\n (2014), \n The Digital Universe of Opportunities: Rich Data And The Increasing Value of The Internet of Things\n , IDC Analyze the Future, MA, available at: www.emc.com\/leadership\/digital-universe\/2014iview\/index.htm (accessed 20 April 2015)."},{"key":"key2020121920282345800_b14","unstructured":"ISO\n (2011), \n Thesauri and Interoperability With Other Vocabularies \u2013 part 1: Thesauri For Information Retrieval. ISO 25964-1:2011\n , International Organization for Standardization, Geneva, available at: www.iso.org\/iso\/catalogue_detail.htm?csnumber=53657 (accessed 20 April 2015)."},{"key":"key2020121920282345800_b15","doi-asserted-by":"crossref","unstructured":"Jansen, B.J.\n , \n Spink, A.\n and \n Saracevic, T.\n (2000), \u201cReal life, real users, and real needs: a study and analysis of user queries on the web\u201d, \n Information Processing & Management\n , Vol. 36 No. 2, pp. 207-227.","DOI":"10.1016\/S0306-4573(99)00056-4"},{"key":"key2020121920282345800_b16","doi-asserted-by":"crossref","unstructured":"Kajanan, S.\n , \n Bao, Y.\n , \n Datta, A.\n , \n VanderMeer, D.\n and \n Dutta, K.\n (2014), \u201cEfficient automatic search query formulation using phrase-level analysis\u201d, \n Journal of the Association for Information Science and Technology\n , Vol. 65 No. 5, pp. 1058-1075.","DOI":"10.1002\/asi.23022"},{"key":"key2020121920282345800_b17","doi-asserted-by":"crossref","unstructured":"Kharazmi, S.\n , \n Karimi, S.\n , \n Scholer, F.\n and \n Clark, A.\n (2014), \u201cA study of querying behaviour of expert and non-expert users of biomedical search systems\u201d, Proceedings of the 19th Australasian Document Computing Symposium, ADCS \u201914, ACM, New York, NY, 27-28 November. doi: 10.1145\/2682862.2682871.","DOI":"10.1145\/2682862.2682871"},{"key":"key2020121920282345800_b18","doi-asserted-by":"crossref","unstructured":"Kim, S.S.\n , \n Myaeng, S.H.\n and \n Yoo, J.-M.\n (2005), \u201cA hybrid information retrieval model using metadata and text\u201d, in \n Fox, E.A.\n , \n Neuhold, E.J.\n , \n Premsmit, P.\n and \n Wuwongse, V.\n (Eds), \n Digital Libraries: Implementing Strategies and Sharing Experiences\n , Lecture Notes in Computer Science: Vol. 3815, Springer, Berlin, pp. 232-241.","DOI":"10.1007\/11599517_27"},{"key":"key2020121920282345800_b19","doi-asserted-by":"crossref","unstructured":"Kostoff, R.N.\n (2010), \u201cExpanded information retrieval using full-text searching\u201d, \n Journal of Information Science\n , Vol. 36 No. 1, pp. 104-113.","DOI":"10.1177\/0165551509353250"},{"key":"key2020121920282345800_b20","doi-asserted-by":"crossref","unstructured":"Lyse, G.I.\n and \n Andersen, G.\n (2012), \u201cCollocations and statistical analysis of n-grams\u201d, in \n Andersen, G.\n (Ed.), \n Exploring Newspaper Language: Using the Web to Create and Investigate a Large Corpus of Modern Norwegian\n , Studies in Corpus Linguistics, John Benjamins Publishing, Amsterdam, pp. 79-109.","DOI":"10.1075\/scl.49.05lys"},{"key":"key2020121920282345800_b21","doi-asserted-by":"crossref","unstructured":"McKenzie, E.M.\n (2001), \u201cNatural language searching: how win works in Westlaw\u201d, \n Legal Reference Services Quarterly\n , Vol. 18 No. 4, pp. 39-47.","DOI":"10.1300\/J113v18n04_04"},{"key":"key2020121920282345800_b22","doi-asserted-by":"crossref","unstructured":"Meijer, K.\n , \n Frasincar, F.\n and \n Hogenboom, F.\n (2014), \u201cA semantic approach for extracting domain taxonomies from text\u201d, \n Decision Support Systems\n , Vol. 62, pp. 78-93.","DOI":"10.1016\/j.dss.2014.03.006"},{"key":"key2020121920282345800_b23","unstructured":"Moch\u00f3n, G.\n and \n Sorli, A.\n (2002), \n Tesauro De Biblioteconom\u00eda Y Documentaci\u00f3n\n , CSIC, Madrid."},{"key":"key2020121920282345800_b24","unstructured":"Moens, M.-F.\n (2002), \u201cAutomatic indexing: The assignment of controlled language index terms\u201d, in \n Zhai, C.\n and \n de Rijke, M.\n (Eds.), \n Automatic Indexing And Abstracting of Document Texts\n , The Information Retrieval, Springer, New York, NY, pp. 103-132."},{"key":"key2020121920282345800_b25","doi-asserted-by":"crossref","unstructured":"Moine, M.-P.\n , \n Valcke, S.\n , \n Lawrence, B.N.\n , \n Pascoe, C.\n , \n Ford, R.W.\n , \n Alias, A.\n , \n Balaji, V.\n et al. (2014), \u201cDevelopment and exploitation of a controlled vocabulary in support of climate modelling\u201d, \n Geoscientific Model Development\n , Vol. 7 No. 2, pp. 479-493.","DOI":"10.5194\/gmd-7-479-2014"},{"key":"key2020121920282345800_b26","doi-asserted-by":"crossref","unstructured":"M\u00fcller, H.\n , \n Rangarajan, A.\n , \n Teal, T.K.\n and \n Sternberg, P.W.\n (2008), \u201cTextpresso for neuroscience: searching the full text of thousands of neuroscience research papers\u201d, \n Neuroinformatics\n , Vol. 6 No. 3, pp. 195-204.","DOI":"10.1007\/s12021-008-9031-0"},{"key":"key2020121920282345800_b27","doi-asserted-by":"crossref","unstructured":"Murphy, L.S.\n , \n Reinsch, S.\n , \n Najm, W.I.\n , \n Dickerson, V.M.\n , \n Seffinger, M.A.\n , \n Adams, A.\n and \n Mishra, S.I.\n (2003), \u201cSearching biomedical databases on complementary medicine: the use of controlled vocabulary among authors, indexers and investigators\u201d, \n BMC Complementary and Alternative Medicine\n , Vol. 3 No. 1.","DOI":"10.1186\/1472-6882-3-3"},{"key":"key2020121920282345800_b28","doi-asserted-by":"crossref","unstructured":"Nazar, R.\n (2011), \u201cA statistical approach to term extraction\u201d, \n International Journal of English Studies\n , Vol. 11 No. 2, pp. 159-182.","DOI":"10.6018\/ijes\/2011\/2\/149691"},{"key":"key2020121920282345800_b29","unstructured":"NISO\n (2010), \n Guidelines For The Construction, Format, and Management of Monolingual Controlled Vocabularies. ANSI\/NISO Z39.19-2005 (R2010)\n , National Information Standards Organization, Baltimore, MD, available at: www.niso.org\/apps\/group_public\/download.php\/12591\/z39-19-2005r2010.pdf (accessed 20 April 2015)."},{"key":"key2020121920282345800_b30","doi-asserted-by":"crossref","unstructured":"Nowick, E.A.\n and \n Mering, M.\n (2003), \u201cComparisons between internet users\u2019 free-text queries and controlled vocabularies: a case study in water quality\u201d, \n Technical Services Quarterly\n , Vol. 21 No. 2, pp. 15-32.","DOI":"10.1300\/J124v21n02_02"},{"key":"key2020121920282345800_b31","doi-asserted-by":"crossref","unstructured":"Olson, H.A.\n and \n Wolfram, D.\n (2008), \u201cSyntagmatic relationships and indexing consistency on a larger scale\u201d, \n Journal of Documentation\n , Vol. 64 No. 4, pp. 602-615.","DOI":"10.1108\/00220410810884093"},{"key":"key2020121920282345800_b32","doi-asserted-by":"crossref","unstructured":"Pazienza, M.T.\n , \n Pennacchiotti, M.\n and \n Zanzotto, F.M.\n (2005), \u201cTerminology extraction: an analysis of linguistic and statistical approaches\u201d, in \n Spiros, S.\n (Ed.), \n Knowledge Mining\n , Studies in Fuzziness and Soft Computing, Springer, Berlin, pp. 255-279.","DOI":"10.1007\/3-540-32394-5_20"},{"key":"key2020121920282345800_b33","doi-asserted-by":"crossref","unstructured":"Pedraza-Jim\u00e9nez, R.\n , \n Codina, L.\n and \n Rovira, C.\n (2008), \u201cSemantic web adoption: online tools for web evaluation and metadata extraction\u201d, in \n Ruan, D.\n and \n Montero, J.\n (Eds), \n Computational Intelligence in Decision and Control, Proceedings of the 8th International FLINS Conference\n , World Scientific Publishing Company, Madrid, pp. 121-126.","DOI":"10.1142\/9789812799470_0020"},{"key":"key2020121920282345800_b34","unstructured":"Pedraza-Jim\u00e9nez, R.\n , \n Codina, L.\n and \n Rovira, C.\n (2009), \u201cMetadatos en la Web sem\u00e1ntica: lenguajes de marcado para la organizaci\u00f3n de sistemas de informaci\u00f3n\u201d, in \n Codina, L.\n , \n Marcos, M.-C.\n and \n Pedraza-Jimenez\n (Eds), \n Web Sem\u00e1ntica y Sistemas de Informaci\u00f3n Documental\n , Trea, Gij\u00f3n, pp. 13-42."},{"key":"key2020121920282345800_b35","doi-asserted-by":"crossref","unstructured":"Rowley, J.\n (1994), \u201cThe controlled versus natural indexing languages debate revisited: a perspective on information retrieval practice and research\u201d, \n Journal of Information Science\n , Vol. 20 No. 2, pp. 108-118.","DOI":"10.1177\/016555159402000204"},{"key":"key2020121920282345800_b36","doi-asserted-by":"crossref","unstructured":"Sclano, F.\n and \n Velardi, P.\n (2007), \u201cTermextractor: a web application to learn the shared terminology of emergent web communities\u201d, in \n Gon\u00e7alves, R.J.\n , \n M\u00fcller, J.P.\n , \n Mertins, K.\n and \n Zelm, M.\n (Eds), \n Enterprise Interoperability II\n , Springer London, London, pp. 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, \n Sanz, R.\n and \n Herrera-Viedma, E.\n (2014), \u201cA quality based recommender system to disseminate information in a university digital library\u201d, \n Information Sciences\n , Vol. 261, pp. 52-69.","DOI":"10.1016\/j.ins.2013.10.036"},{"key":"key2020121920282345800_b40","unstructured":"V\u00e1llez, M.\n and \n Pedraza-Jim\u00e9nez, R.\n (2007), \u201cNatural language processing in textual information retrieval and related topics\u201d, \n Hipertext.net\n , Vol. 5 available at: www.upf.edu\/hipertextnet\/en\/numero-5\/pln.html"},{"key":"key2020121920282345800_b41","doi-asserted-by":"crossref","unstructured":"V\u00e1llez, M.\n , \n Pedraza-Jim\u00e9nez, R.\n , \n Blanco, S.\n , \n Codina, L.\n and \n Rovira, C.\n (2015), \u201cA semi-automatic indexing system based on embedded information in HTML documents\u201d, \n Library Hi Tech\n , Vol. 33 No. 2. doi: 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