Paper: Selecting an Ontology for Biomedical Text Mining

ACL ID W09-1307
Title Selecting an Ontology for Biomedical Text Mining
Venue Workshop on Biomedical Natural Language Processing
Year 2009

Text mining for biomedicine requires a sig- nificant amount of domain knowledge. Much of this information is contained in biomedical ontologies. Developers of text mining appli- cations often look for appropriate ontologies that can be integrated into their systems, rather than develop new ontologies from scratch. However, there is often a lack of documen- tation of the qualities of the ontologies. A number of methodologies for evaluating on- tologies have been developed, but it is diffi- cult for users by using these methods to se- lect an ontology. In this paper, we propose a framework for selecting the most appropri- ate ontology for a particular text mining appli- cation. The framework comprises three com- ponents, each of which considers different as- pects of requirements of text min...