Technical Reports (CIS)
Document Type
Technical Report
Date of this Version
May 1982
Abstract
The knowledge representation is an important factor in natural language generation since it limits the semantic capabilities of the generation system. It is, however, a tedious task to hand code a knowledge representation which reflects both a user's view of a domain and the way that domain is modelled in the database. A system is presented which uses the contents of the database to form part of a database knowledge representation automatically. It augments a database schema depicting the database structure used for natural language generation. Computational solutions are presented for deriving the information types contained in the schema. Three types of world knowledge axioms are used to ensure that the representation formed is meaningful and contains salient information.
Recommended Citation
Kathleen Filliben McCoy, "The ENHANCE System: Creating Meaningful Sub-Types in a Database Knowledge Representation for Natural Language Generation", . May 1982.
Date Posted: 18 October 2007
Comments
University of Pennsylvania Department of Computer and Information Science Technical Report No. MS-CIS-82-06.