Classification-based inferences in retrieving information from a database of scientific facts

Author

Gomez, Fernando ; Segami, C.

Author_Institution

Dept. of Comput. Sci., Central Florida Univ., Orlando, FL, USA

fYear

1989

fDate

6-10 Mar 1989

Firstpage

75

Lastpage

81

Abstract

The authors explain how complex chains of inferences can be accomplished by representing existentially qualified sentences and concepts denoted by restrictive relative clauses as classification hierarchies. They first describe the representation structures which make possible the inferences, and then they explain the algorithms which draw the inferences from the knowledge structures. All the ideas explained have been implemented and are part of the information retrieval component of SNOWY, a program which understands scientific paragraphs

Keywords

classification; inference mechanisms; information retrieval; knowledge representation; user interfaces; SNOWY; classification hierarchies; inferences; information retrieval; intelligent interfaces; knowledge representation; knowledge structures; representation structures; restrictive relative clauses; scientific facts database; scientific paragraphs; user interfaces; Antarctica; Calculus; Classification algorithms; Computer science; Databases; Inference algorithms; Information retrieval; Marine animals; Prototypes; Whales;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence Applications, 1989. Proceedings., Fifth Conference on

Conference_Location

Miami, FL

Print_ISBN

0-8186-1902-3

Type

conf

DOI

10.1109/CAIA.1989.49139

Filename

49139