Data Structures for Question Answering Systems.
Abstract
Data bases for question answering systems are models of reality. Such models can be considered to be sets of assertions. Sophisticated models must cope with consistency problems due to the Frame Problem. Processes that derive answers to questions should be included in the model, and question answering systems should be able to discuss such processes. Uniform processes are too rigid to support intelligent question answering systems. Further understanding of nonuniform processes may derive from development of nondeterministic programming languages. The SIR model, the CONVERSE model, and the DEACON model are compared. Directions for research are proposed. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1972
- Accession Number
- AD0756663
Entities
People
- Gregory Dean Gibbons
Organizations
- Naval Postgraduate School