A Lexical Framework for Semantic Annotation of Positive and Negative Regulation Relations in Biomedical Pathways

Sine Zambach, Tine Lassen

Publikation: KonferencebidragPaperForskningpeer review

Abstract

Knowledge of regulation relations is widely applied by biomedical researchers in for example experiment design
on regulatory pathways and in systems biology. Such knowledge has typically been represented very roughly as
simple graphs or very expressively in simulations of pathways.
In the work presented here, we analyze 6 frequently used verbs denoting the regulation relations regulates,
positively regulates and negatively regulates through corpus analysis, and propose a formal representation of the
acquired knowledge as domain speci¯c semantic frames. The acquired knowledge patterns can thus be used to
identify and reason over knowledge represented in texts from the biomedical domain.
OriginalsprogEngelsk
Publikationsdato25 okt. 2011
Antal sider6
StatusUdgivet - 25 okt. 2011
Begivenhed4th International Symposium on Semantic Mining in Biomedicine - European Bioinformatics Institute (EBI) , Hinxton, Storbritannien
Varighed: 25 okt. 201026 okt. 2010
http://www.smbm.eu/Home

Konference

Konference4th International Symposium on Semantic Mining in Biomedicine
LokationEuropean Bioinformatics Institute (EBI)
LandStorbritannien
ByHinxton
Periode25/10/201026/10/2010
Internetadresse

Citer dette

Zambach, S., & Lassen, T. (2011). A Lexical Framework for Semantic Annotation of Positive and Negative Regulation Relations in Biomedical Pathways. Afhandling præsenteret på 4th International Symposium on Semantic Mining in Biomedicine, Hinxton, Storbritannien. http://www.smbm.eu/