A Semantics-Based Approach to Retrieving Biomedical Information

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2011

View graph of relations

This paper describes an approach to representing, organising, and accessing conceptual content of biomedical texts using a formal ontology. The ontology is based on UMLS resources supplemented with domain ontologies developed in the project. The approach introduces the notion of ‘generative ontologies’, i.e., ontologies providing increasingly specialised concepts reflecting the phrase structure of natural language. Furthermore, we propose a novel so called ontological semantics which maps noun phrases from texts and queries into nodes in the generative ontology. This enables an advanced form of data mining of texts identifying paraphrases and concept relations and measuring distances between key concepts in texts. Thus, the project is distinct in its attempt to provide a formal underpinning of conceptual similarity or relatedness of meaning.
Original languageEnglish
Title of host publicationFlexible Query Answering Systems : 9th International Conference, FQAS 2011 Ghent, Belgium, October 26-28, 2011 Proceedings
PublisherSpringer
Publication date2011
Pages108-118
ISBN (print)978-3-642-24763-7
ISBN (electronic)978-3-642-24764-4
DOIs
StatePublished

Conference

Conference9th International Conference on Flexible Query Answering Systems
Number9
CountryBelgium
CityGhent
Period26/10/1128/10/11
Internet addresshttp://fqas2011.ugent.be/drupal6/
NameLecture Notes in Artificial Intelligence
Number7022
ISSN (Print)0302-9743
CitationsWeb of Science® Times Cited: No match on DOI
Download as:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word

ID: 6633297