title: Biomedical text summarisation using concept chains.
abstract: BioChainSumm is a biomedical text summariser utilising concept chaining (called BioChain) to link semantically-related concepts within biomedical text together. The BioChain process is adapted from existing lexical chaining approaches which chain semantically-related terms rather than concepts. The BioChain concept chains are used to identify salient candidate sentences which are extracted to produce a summary of the biomedical text. The Unified Medical Language System Metathesaurus and Semantic Network semantic resources identify related biomedical concepts. BioChainSumm is evaluated using the ROUGE system along with several existing, publicly-available summarisers. Our results show BioChain provides a promising methodology for biomedical text summarisation.
authors.affiliation: College of Information Science and Technology, Drexel University, Philadelphia, PA, USA. lhr24@drexel.edu
authors.forename: Lawrence H
authors.initials: LH
authors.lastname: Reeve
authors.forename: Hyoil
authors.initials: H
authors.lastname: Han
authors.forename: Ari D
authors.initials: AD
authors.lastname: Brooks
mesh_terms: D012984:Software; D013358:Subject Headings; D017432:Unified Medical Language System