Title :
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
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;
Conference_Titel :
Artificial Intelligence Applications, 1989. Proceedings., Fifth Conference on
Conference_Location :
Miami, FL
Print_ISBN :
0-8186-1902-3
DOI :
10.1109/CAIA.1989.49139
