Modeling biomedical assertions in the semantic web

Authors:
Deendayal Dinakarpandian;Tuanjie Tong;Yugyung Lee
Affiliations:
University of Missouri -- Kansas City, Kansas City, MO;University of Missouri -- Kansas City, Kansas City, MO;University of Missouri -- Kansas City, Kansas City, MO
Venue:
Proceedings of the 2007 ACM symposium on Applied computing
Year:
2007

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Abstract

We present an enhanced version of an ontological framework called MachineProse that is meant to represent the evolving knowledge resulting from biomedical research. This framework bridges the semantic gap between the use of keywords or controlled vocabularies to index articles and the expressive free-text content of research papers. The benefits of the framework are the ability to carry out precise searches to retrieve relevant literature, and novel abilities to provide answers to questions. We illustrate MachineProse with a case study of its application to Evidence Based Medicine.