Methods and trends of biomedical and genomic information retrieval based on semantic relations of thesauri and MeSH

Morán Reyes, Ariel Antonio and Naumis Peñas, Catalina Methods and trends of biomedical and genomic information retrieval based on semantic relations of thesauri and MeSH. Investigación Bibliotecológica: Archivonomía, Bibliotecología e Información, 2016, vol. 30, n. 68, pp. 109-123. [Journal article (Paginated)]

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English abstract

There are two methods of retrieving information from documents in the field of genomic science and medicine in general, namely: 1) through the combined use of associations determined by the Medical Subject Headings, and 2) by employing specific terminologies, such as in folksonomies, alternative medical-genomic terms in use in the general language, or acronyms or apocopes from the genomics field. To some extent, many thinkers and indexers hold that the combination of two methods may be the best approach. While few authors advocate for keeping the structure of controlled vocabularies, built up over many years of content interpretation, unchanged, there are numerous proposals for expanding the search horizons of thesauri, whether through social cataloging, algorithmic domain analyses that contrast indicators or the semantic web using markers of meaningful semantic lexicons contained in digitized text.

Item type: Journal article (Paginated)
Keywords: Library science, Terminology, Automated information retrieval, Medical subjects headings, Thesauri
Subjects: D. Libraries as physical collections. > DK. Health libraries, Medical libraries.
H. Information sources, supports, channels. > HP. e-resources.
I. Information treatment for information services > IC. Index languages, processes and schemes.
I. Information treatment for information services > ID. Knowledge representation.
I. Information treatment for information services > IJ. Reference work.
L. Information technology and library technology > LL. Automated language processing.
Depositing user: M.A. Ariel Morán
Date deposited: 11 Jul 2016 00:45
Last modified: 11 Jul 2016 00:45


"SEEK" links will first look for possible matches inside E-LIS and query Google Scholar if no results are found.

Bartol, T. (2012), “Assessment of indexing trends with specific and general terms for herbal medicine”, en Health Information and Libraries Journal, 29 (4), 285-295.

Bodenreider, O.; Rindflesch, T. C. y Burgun, A. (2002), “Unsupervised, corpus-based method for extending a biomedical terminology”, en S. Johnson (ed.), Procedings of the Workshop on Natural Language Processing in the Biomedical Domain (ACL-02), Filadelfia: Morgan Kaufmann: Association for Computational Linguistics, 53-60.

Brand-de Heer, D. L. (2001), “A comparison of the coverage of clinical medicine provided by PASCAL, BIOMED and MEDLINE”, en Health Information and Libraries Journal, 18 (2), 110-116.

Bundschus, M. et al. (2008), “Statistical modeling of medical indexing processes for biomedical knowledge information discovery from text”, en S. Lonardi, J. Y. Chen y M. Zaki (eds.), Proceedings of 8th International Workshop on Data Mining in Bioinformatics (BIOKDD ’08), Las Vegas: Association for Computing Machinery, 11-17.

Chute, C. G. (2005), “Medical concepts representation”, en H. Chen et al. (eds.), Medical informatics: Knowledge management and data mining in biomedicine, Nueva York: Springer, 163-182.

Darmoni, S. J. et al. (2001), “A search tool based on ‘encapsulated’ MeSH thesaurus to retrieve quality health resources on the internet”, en Medical Informatics and the Internet in Medicine, 26 (3), 165-178.

Deacon, P.; Smith, J. B. y Tow, S. (2001), “Using metadata to create navigation paths in the HealthInsite internet gateway”, en Health Information and Libraries Journal, 18 (1), 20-29.

Douyère, M. et al. (2004), “Enhancing the mesh thesaurus to retrieve french online health resources in a quality-controlled gateway”, en Health Information and Libraries Journal, 21 (4), 253-261.

Galveza, C. y Moya-Anegón, F. (2006), “Identificación de nombres de genes en la literatura biomédica”, en V. P. Guerrero-Bote (ed.), Proceedings of the 1st International Conference on Multidisciplinary Information Sciences and Technologies (InSciT2006), ii, Badajoz: Open Institute of Knowledge, 344-345.

Göbel, G. et al. (2001), “A MeSH based intelligent search intermediary for Consumer Health Information Systems”, en International Journal of Medical Informatics, 64 (2/3), 241-251.

Hassan, S.; Htroy, F. y Palombi, O. (2010), Ontology-guided MeSH segmentation, ponencia presentada en Focus K3D Conference on Semantic 3D Media and Content (5 p.) (Sophia Antipolis, Francia, 11 y 12 de febrero de 2010).

Humphreys, B. L. y Schuyler, P. L. (1993), “The unified medical language system: Moving beyond the vocabulary of bibliographic retrieval”, en N. C. Broering (ed.), High-performance medical libraries: Advances in information management for the virtual era, Westport, Connecticut: Meckler, 31-44.

Kerdelhué, G. (2007), “Utilisation du thésaurus mesh dans le site cismef”, en Documentaliste, 44 (1), pp. 29-39.

Kostoff, R. N. et al. (2004), “Information content in medline record fields”, en International Journal of Medical Informatics, 73 (6), 515-527.

Leydesdorff, L.; Rotolo, D. y Rafols, I. (2012), “Bibliometric perspectives on medical innovation using the Medical Subject Headings (MeSH) of PubMed”, en Journal of the American Society for Information Science and Technology, 63 (11), 2239-2253.

Meij, E. et al. (2005), “Combining thesauri-based methods for biomedical retrieval”, en E. M. Voorhees y L. P. Buckland (eds.), Proceedings of the 14th Text retrieval Conference (TREC-2005), Gaithersburg, Maryland: National Institute of Standards and Technology. Disponible en:

Mottaz, A. (2006), Mapping disease annotation in Swiss-Prot to Medical terminology MeSH, tesis de Maestría en Proteómica y Bioinformática, Suiza: Universidad de Ginebra, Facultad de Ciencias, Facultad de Medicina.

Nelson, S. J.; Johnson, W. D. y Humphreys, B. L. (2001), “Relationships in Medical Subject Headings (MeSH)”, en C. A. Bean y R. Green (eds.), Relationships in the organization of knowledge, ii, Dordrecht: Kluwer Academic, 171-184.

Névéol, A. et al. (2004), “Using CiSMEF MeSH ‘encapsulated’ terminology and a categorization algorithm for health resources”, en International Journal of Medical Informatics, 73 (1), 57-64.

Pastor Sánchez, J. A. (2011), “Metadatos y ontologías”, en Tecnologías de la Web semántica, Barcelona: UOC, 21-29.

Rajathei David, M. y Samuel, S. (2012), “Clustering of PubMed abstracts using nearer terms of the domain”, en Bioinformation, 8 (1), 20-25.

Serban, R. y Teije, A. ten (2009), “Exploiting thesauri knowledge in medical guideline formalization”, en Methods of Information in Medicine, 48 (5), 468-474.

Soualmia, L. F.; Golbreich, C. y Darmoni, S. J. (2004), “Representing the MeSH in OWL: Towards a semi-automatic migration”, ponencia presentada en Proceedings of the 1st International Workshop on Formal Biomedical Knowledge Representation (KR-MED 2004) (9 p.) (Whistler Mountain, Canadá, 9 y 10 de julio de 2010).

Zweigenbaum, P. y Grabar, N. (2004), “Restoring accents in unknown biomedical words: Application to the french MeSH thesaurus”, en International Journal of Medical Informatics, 67 (1/3), 113-126.

Zweigenbaum, P. et al. (2003), “Towards a unified medical lexicon for french”, en G. Surjan, R. Engelbrecht y P. McNair (eds.), Proceedings of mie 2003, 8th International Congress of the European Federation for Medical Informatics, Amsterdam: IOS, 415-420.


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