Creating a knowledge base of biological research papers
- Northeastern Univ., Boston, MA (United States); and others
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 base 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.
- Research Organization:
- Stanford Univ., CA (United States)
- OSTI ID:
- 377138
- Report Number(s):
- CONF-9408117--
- Country of Publication:
- United States
- Language:
- English
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