Abstract
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 language | English |
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Title of host publication | Flexible Query Answering Systems : 9th International Conference, FQAS 2011 Ghent, Belgium, October 26-28, 2011 Proceedings |
Publisher | Springer |
Publication date | 2011 |
Pages | 108-118 |
ISBN (Print) | 978-3-642-24763-7 |
ISBN (Electronic) | 978-3-642-24764-4 |
DOIs | |
Publication status | Published - 2011 |
Event | 9th International Conference on Flexible Query Answering Systems - Ghent, Belgium Duration: 26 Oct 2011 → 28 Oct 2011 Conference number: 9 http://fqas2011.ugent.be/drupal6/ |
Conference
Conference | 9th International Conference on Flexible Query Answering Systems |
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Number | 9 |
Country/Territory | Belgium |
City | Ghent |
Period | 26/10/2011 → 28/10/2011 |
Internet address |
Series | Lecture Notes in Artificial Intelligence |
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Volume | 7022 |
ISSN | 0302-9743 |