title: Creating a knowledge base of biological research papers.
abstract: Intelligent text-oriented tools for representing and searching the biological research literature are being developed, which combine object-oriented databases with artificial intelligence techniques to create a richly structured knowledge based of Materials and Methods sections of biological research papers. A knowledge model of experimental processes, biological and chemical substances, and analytical techniques is described, based on the representation techniques of taxonomic semantic nets and knowledge frames. Two approaches to populating the knowledge base with the contents of biological research papers are described: natural language processing and an interactive knowledge definition tool.
authors.affiliation: College of Computer Science, Northeastern University, Boston, MA 02115, USA.
authors.forename: C D
authors.initials: CD
authors.lastname: Hafner
authors.forename: K
authors.initials: K
authors.lastname: Baclawski
authors.forename: R P
authors.initials: RP
authors.lastname: Futrelle
authors.forename: N
authors.initials: N
authors.lastname: Fridman
authors.forename: S
authors.initials: S
authors.lastname: Sampath
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016208:Databases, Factual; D010506:Periodicals as Topic