Distilling conceptual connections from MeSH co-occurrences.
Our aim is to contribute to biomedical text extraction and mining research. In this paper we present exploratory research on the MeSH terms assigned to MEDLINE citations. We analyze MeSH based co-occurrences and identify the interesting ones, i.e., those that are likely to be semantically meaningful. For each selected co-occurring pair we derive a weighted vector representation that emphasizes the verb based functional aspects of the underlying semantics. Preliminary experiments exploring the potential value of these vectors gave us very good results. The larger goal of this project is to contribute to knowledge discovery research by mining the knowledge that is latent within the biomedical literature. It is also to provide a method capable of suggesting cross-disciplinary connections via the pairs derived from all of MEDLINE.
Srinivasan
Padmini
P
School of Library and Information Science, The University of Iowa, Iowa City, USA. padmini-srinivasan@uiowa.edu
Hristovski
Dimitar
D
D016247:Information Storage and Retrieval; D016239:MEDLINE; D046650:Medical Subject Headings; D012660:Semantics