Geosemantically-enhanced PubMed queries using the GeoNames ontology and Web Services

Maged N. Kamel Boulos

Research output: Contribution to conferenceOther

Abstract

PubMed is a popular biomedical bibliographic database curated by the US National Library of Medicine. Limitations may be encountered when querying PubMed for studies from or about a particular geographic location. For example, if a citation record does not include the word `Canada' but instead includes `Ontario' as the named place in its text, a PubMed query to find all studies conducted in Canada using only the keyword `Canada' will not be able to retrieve that particular record. We propose that a GeoNames-powered PubMed search has the potential of solving such issues. By bringing in the “intelligence” of a geographic ontology and the ability to reason with place names (e.g., recognise `Ontario' as a province of `Canada'), a search engine can infer implicit meanings in the queried records that are not directly mentioned as free text or as keyword terms in either the citation records or their metadata.
Original languageEnglish
Pages2891-2893
Number of pages3
DOIs
Publication statusPublished - Jul 2012
EventIGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium - Munich, Germany, United Kingdom
Duration: 22 Jul 201227 Jul 2012

Conference

ConferenceIGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium
CountryUnited Kingdom
CityMunich, Germany
Period22/07/1227/07/12

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    Kamel Boulos, M. N. (2012). Geosemantically-enhanced PubMed queries using the GeoNames ontology and Web Services. 2891-2893. IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, United Kingdom. https://doi.org/10.1109/IGARSS.2012.6350722