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dc.contributor.authorNovacek, Viten
dc.contributor.authorGroza, Tudoren
dc.contributor.authorHandschuh, Siegfrieden
dc.date.accessioned2009-10-30T15:04:50Zen
dc.date.available2009-10-30T15:04:50Zen
dc.date.issued2009en
dc.identifier.citationVit Novacek, Tudor Groza, Siegfried Handschuh in Carlo Combi, Yuval Shahar (editors) "CORAAL -- Towards Deep Exploitation of Textual Resources in Life Sciences", Proceedings of AIME 2009, Springer Verlag, 2009.en
dc.identifier.urihttp://hdl.handle.net/10379/388en
dc.description.abstractProminent 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.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.publisherSpringer Verlagen
dc.subject.lcshComputer network resources -- Study and teachingen
dc.subject.lcshInformation retrievalen
dc.subject.lcshInterneten
dc.subject.lcshComputer network resourcesen
dc.titleCORAAL - Towards Deep Exploitation of Textual Resources in Life Sciencesen
dc.typeConference Paperen
dc.identifier.doi10.1007/978-3-642-02976-9_30en
dc.local.publisherstatementThe original publication is available at www.springerlink.comen
dc.description.peer-reviewedpeer-revieweden
dc.contributor.funderScience Foundation Irelanden
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