Université de Montréal - Thèse sous forme numérique

134(L‘Homme 2008). The following sections investigate how the theoretical model ofFrame Semantics and/or the FrameNet methodology have been implemented in each ofthese projects.3.2.2.1. Molecular biologyBioFrameNet (Dolbey et al. 2006, Dolbey 2009) is an extension of FrameNet to themolecular biology domain whose aim is to ―model the mapping of form and meaning inthe linguistic structures that occur in biomedical texts‖ (Dolbey et al. 2006: 87) withlinks to biomedical ontologies. The authors introduce domain-specific frames that didnot previously exist in FrameNet such as [Transport_intracellular] as well as domainspecificsemantic relations between FEs. The corpus used has a primary focus on thedomain of intracellular transport and is said to be very particular because the texts,called GRIFs (Gene References in Function), are relatively short descriptions of thefunction of certain genes. Corpus texts were annotated by biologists and annotation isreported to score 90% in consistency.BioFrameNet is modeled as an OWL DL (Web Ontology Language based onDescription Language) ontology, this meaning that it can be applied to biologicalquestion-answer reasoning. The author illustrates the overlap of grammatical propertiesacross separate domain ontology classes and demonstrates that although the biologydefined and classified in these classes is different, language used to describe and discussthem is not (Dolbey 2009), this suggesting that this approach can be applied to otherdomains.Apart from the obvious difference between the subject fields, our research alsodiffers from BioFrameNet in the methodology used because we do not aim at buildingan ontology and because BioFrameNet was built for English only.