2 research outputs found
A study on the relation between linguistics-oriented and domain-specific semantics
In this paper we dealt with the comparison and linking between lexical
resources with domain knowledge provided by ontologies. It is one of the issues
for the combination of the Semantic Web Ontologies and Text Mining. We
investigated the relations between the linguistics oriented and domain-specific
semantics, by associating the GO biological process concepts to the FrameNet
semantic frames. The result shows the gaps between the linguistics-oriented and
domain-specific semantics on the classification of events and the grouping of
target words. The result provides valuable information for the improvement of
domain ontologies supporting for text mining systems. And also, it will result
in benefits to language understanding technology.Comment: in Adrian Paschke, Albert Burger, Andrea Splendiani, M. Scott
Marshall, Paolo Romano: Proceedings of the 3rd International Workshop on
Semantic Web Applications and Tools for the Life Sciences, Berlin,Germany,
December 8-10, 201
A Knowledge Extraction Framework for Biomedical Pathways
In this paper we present a novel knowledge extraction framework that is based on semantic parsing. The semantic information originates in a variety of resources, but one in particular, namely BioFrameNet, is central to the characterization of complex events and processes that form biomedical pathways. The paper discusses the promising results of semantic parsing and explains how these results can be used for capturing complex medical knowledge