Ontology-Based MEDLINE Document Classification

Abstract. An increasing and overwhelming amount of biomedical information is available in the research literature mainly in the form of free-text. Biologists need tools that automate their information search and deal with the high volume and ambiguity of free-text. Ontologies can help automatic information processing by providing standard concepts and information about the relationships between concepts. The Medical Subject Headings (MeSH) ontology is already available and used by MEDLINE indexers to annotate the conceptual content of biomedical articles. This paper presents a domain-independent method that uses the MeSH ontology inter-concept relationships to extend the existing MeSHbased representation of MEDLINE documents. The extension method is evaluated within a document triage task organized by the Genomics track of the 2005 Text REtrieval Conference (TREC). Our method for extending the representation of documents leads to an improvement of 18.3% over a non-extended baseline in ...

• Type: Conference
• Year: 2007
• Where: BIRD
• Authors: Fabrice Camous, Stephen Blott, Alan F. Smeaton
• Keywords: Bioinformatics, Biologists Need Tools, BIRD 2007, Document Triage Task, Ontology Inter-concept Relationships