CORAAL: Towards deep exploitation of textual resources in life sciences

Nováček, Vít, Groza, Tudor and Handschuh, Siegfried (2009). CORAAL: Towards deep exploitation of textual resources in life sciences. In: Carlo Combi, Yuval Shahar, Ameen Abu-Hanna, Randy Goebel, Jörg Siekmann and Wolfgang Wahlster, Artificial Intelligence in Medicine: 12th Conference on Artificial Intelligence in Medicine, AIME 2009. 12th Conference on Artificial Intelligence in Medicine (AIME'09), Verona, Italy, (206-215). 18-22 July 2009. doi:10.1007/978-3-642-02976-9_30


Author Nováček, Vít
Groza, Tudor
Handschuh, Siegfried
Title of paper CORAAL: Towards deep exploitation of textual resources in life sciences
Conference name 12th Conference on Artificial Intelligence in Medicine (AIME'09)
Conference location Verona, Italy
Conference dates 18-22 July 2009
Convener European Society for Artificial Intelligence in Medicine (AIME)
Proceedings title Artificial Intelligence in Medicine: 12th Conference on Artificial Intelligence in Medicine, AIME 2009   Check publisher's open access policy
Journal name Lecture Notes in Artificial Intelligence: Lecture Notes in Computer Science   Check publisher's open access policy
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2009
Sub-type Fully published paper
DOI 10.1007/978-3-642-02976-9_30
ISBN 9783642029752
3642029752
ISSN 0302-9743
1611-3349
Editor Carlo Combi
Yuval Shahar
Ameen Abu-Hanna
Randy Goebel
Jörg Siekmann
Wolfgang Wahlster
Volume 5651
Start page 206
End page 215
Total pages 10
Language eng
Formatted Abstract/Summary
Prominent biomedical literature search tools like ScienceDirect, PubMed Central or MEDLINE allow for efficient retrieval of resources based on key words. Due to vast amounts of data available in life sciences, key word search is not always sufficient, though. One would often welcome more intelligent search for knowledge, i.e., for concepts and their mutual relations. This is, however, still a major challenge, since getting the necessary machine-readable knowledge manually is virtually impossible in large scale, while its automatic extraction is not particularly reliable. We have researched a novel framework actually enabling practical exploitation of automatically extracted knowledge, though. On the top of the framework, we implemented CORAAL, a prototype for knowledge-based biomedical literature search. This paper describes its essential principles, innovative capabilities and current results.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Presented during the Session "Ontologies, Terminologies and Natural Language I" and published in Chapter 6. "Ontologies, Terminologies and Natural Language".

 
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Created: Mon, 07 Mar 2011, 21:41:50 EST by Dr Tudor Groza on behalf of School of Information Technol and Elec Engineering