The paper describes a natural language understanding system, START, that translates English text into a knowledge base. The understanding and the generating modules of START share a Grammar which is built upon reversible transformations. Users can retrieve information by querying the knowledge base in English; the system then produces an English response. START can be easily adapted to many different domains. One such domain is spacecraft sequencing. A high-level overview of sequencing as it is practiced at JPL is presented in the paper, and three areas within this activity are identified for potential application of the START system. Examples are given of an actual dialog with START based on simulated data for the Mars Observer mission.
Understanding natural language for spacecraft sequencing
1987-10-01
Miscellaneous
No indication
English
SOLUTIONS - Software - Software for Sequencing Spacecraft Actions
Online Contents | 2002
Spacecraft State Description Markup Language
IEEE | 2009
|Toward understanding spacecraft autonomy computing needs
NTRS | 2017
|