Abstract
With a functional Semantic Web on the horizon, practical methods to take advantage of controlled vocabularies should be investigated. Due to the maturity of MEDLINE and UMLS, we have an opportunity, within the medical domain, to begin exploration of ideas which may in the near future be applied to the web in general.
We present an implemented information retrieval system which uses the MeSH terminology as a basis to present MEDLINE results to the user in a hierarchically-browseable way. This demonstrates how to use hierarchical categories to represent a large number of results in manageable way, which is required in many information-gathering tasks, particularly in research of published literature. A pilot evaluation gives evidence of usability of such a system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
US National Library of Medicine: Data news and update information, http://www.nlm.nih.gov/bsd/revup/revup_pub.html (last access 2010)
Hunter, L., Cohen, K.B.: Biomedical language processing: What’s beyond pubmed? Molecular Cell 21(5), 589–594 (2006)
Smith, R.: What clinical information do doctors need? British Medical Journal 313(7064), 1062–1068 (1996)
Demner-Fushman, D., Hauser, S., Thoma, G.: The role of title, metadata and abstract in identifying clinically relevant journal articles. In: AMIA Annual Symposium Proceedings, vol. 2005, pp. 191–195. American Medical Informatics Association (2005)
Doms, A., Schroeder, M.: GoPubMed: exploring PubMed with the gene ontology. Nucleic Acids Research 33(Web Server Issue), W783–W786 (2005)
Lin, J., Demner-Fushman, D.: Semantic Clustering of Answers to Clinical Questions. In: AMIA Annual Symposium Proceedings, vol. 2007, pp. 458–462. American Medical Informatics Association (2007)
US National Library of Medicine: Fact sheet medical subject headings MeSH, http://www.nlm.nih.gov/pubs/factsheets/mesh.html (last access 2010)
US National Library of Medicine: Fact sheet MEDLINE, http://www.nlm.nih.gov/pubs/factsheets/medline.html (last access 2010)
Stone, D., Jarrett, C.: User interface design and evaluation. Morgan Kaufmann, San Francisco (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Edwards, P., Kešelj, V. (2010). MeSH Represented MEDLINE Query Results. In: Farzindar, A., Kešelj, V. (eds) Advances in Artificial Intelligence. Canadian AI 2010. Lecture Notes in Computer Science(), vol 6085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13059-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-13059-5_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13058-8
Online ISBN: 978-3-642-13059-5
eBook Packages: Computer ScienceComputer Science (R0)