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U.S. Department of Energy
Office of Scientific and Technical Information

Expertise based energy information system

Conference ·
OSTI ID:5358595

An intelligent decision support system for energy information is described. The system draws on Artificial Intelligence technology, both in the design of the reasoning and representation components, and in the computer language. The computer language supports a powerful declarative semantics based on frame hierarchies. The design supports desirable user features such as substitution for incomplete data, data validation, caveat warnings, and simple noticing. A model of oil flow in the United States forms the semantic basis for the system. A reasoning component operating within this representation provides answers to queries; a capacity for analyzing energy scenarios; and complex monitoring of the database for developing trends.

Research Organization:
California Univ., Berkeley (USA). Lawrence Berkeley Lab.
DOE Contract Number:
W-7405-ENG-48
OSTI ID:
5358595
Report Number(s):
LBL-10270; CONF-800529-2
Country of Publication:
United States
Language:
English