title: NeuroExtract: facilitating neuroscience-oriented retrieval from broadly-focused bioscience databases using text-based query mediation.
abstract: This paper describes NeuroExtract, a pilot system which facilitates the integrated retrieval of Internet-based information relevant to the neurosciences. The approach involved extracting descriptive metadata from the sources using domain-specific queries; retrieving, processing, and organizing the data into structured text files; searching the data files using text-based queries; and, providing the results in a Web page along with descriptions to entries and URL links to the original sources. NeuroExtract has been implemented for three bioscience resources, SWISSPROT, GEO, and PDB, which provide neuroscience-related information as sub-topics. We discuss several issues that arose in the course of NeuroExtract's implementation. This project is a first step in exploring how this general approach might be used, in conjunction with other query mediation approaches, to facilitate the integration of many Internet-accessible resources relevant to the neurosciences.
authors.affiliation: Center for Medical Informatics, New Haven, CT 06511, USA. chiquito.crasto@yale.edu
authors.forename: Chiquito J
authors.initials: CJ
authors.lastname: Crasto
authors.forename: Peter
authors.initials: P
authors.lastname: Masiar
authors.forename: Perry L
authors.initials: PL
authors.lastname: Miller
mesh_terms: D019992:Databases as Topic; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D009488:Neurosciences; D010865:Pilot Projects; D014584:User-Computer Interface