Book chapter
Distilling conceptual connections from MeSH co-occurrences
MEDINFO 2004, pp.808-812
Studies in health technology and informatics, v.107, IOS Press
2004
DOI: 10.3233/978-1-60750-949-3-808
PMID: 15360924
Abstract
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.
Details
- Title: Subtitle
- Distilling conceptual connections from MeSH co-occurrences
- Creators
- Padmini Srinivasan - School of Library and Information Science, The University of Iowa, Iowa City, USA. padmini-srinivasan@uiowa.eduDimitar Hristovski
- Resource Type
- Book chapter
- Publication Details
- MEDINFO 2004, pp.808-812
- Publisher
- IOS Press; Netherlands
- Series
- Studies in health technology and informatics; v.107
- DOI
- 10.3233/978-1-60750-949-3-808
- PMID
- 15360924
- ISSN
- 0926-9630
- eISSN
- 1879-8365
- Language
- English
- Date published
- 2004
- Academic Unit
- Nursing; Computer Science; Business Analytics
- Record Identifier
- 9984003182102771
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