title: Research for research: tools for knowledge discovery and visualization.
abstract: This paper describes a method to construct from a set of documents a spatial representation that can be used for information retrieval and knowledge discovery. The proposed method has been implemented in a prototype system and allows the researcher to browse interactively and in real-time a network of relationships obtained from a set of full text articles. These relationships are combined with the potential relationships between concepts as defined in the UMLS semantic network. The browser allows the user to select a seed term and find all related concepts, to find a path between concepts (hypothesis testing), and to retrieve the references to documents or database entries that support the relationship between concepts.
authors.affiliation: Department of Medical Informatics, Erasmus University Rotterdam, Rotterdam, The Netherlands.
authors.forename: Erik M
authors.initials: EM
authors.lastname: Van Mulligen
authors.forename: Christiaan
authors.initials: C
authors.lastname: Van Der Eijk
authors.forename: Jan A
authors.initials: JA
authors.lastname: Kors
authors.forename: Bob J A
authors.initials: BJ
authors.lastname: Schijvenaars
authors.forename: Barend
authors.initials: B
authors.lastname: Mons
mesh_terms: D035843:Biomedical Research; D016247:Information Storage and Retrieval / Q000379:methods*; D012984:Software; D017432:Unified Medical Language System