Fuzzy sets and semantic nets for on line assistance

Author

Omri, Mohamed-Nazih ; Tijus, Charles ; Poitrenaud, Sebastien ; Bouchon-Meunier, Bernadette

Author_Institution

LIFORIA-IBP, Paris VI Univ., France

fYear

1995

fDate

20-23 Feb 1995

Firstpage

374

Lastpage

379

Abstract

We describe the theoretical aspects of the architecture of the whole experimental AI system we built in order to provide effective online assistance to users of new technological systems: the understanding of “how it works” and “how to complete tasks” from queries in natural languages. In our model, procedural semantic networks are used to describe the knowledge of an “ideal” expert while fuzzy sets are used both to describe the approximative and uncertain knowledge of novice users in fuzzy semantic networks which intervene to match fuzzy labels of a query with categories from our “ideal” expert

Keywords

artificial intelligence; fuzzy set theory; help systems; natural language interfaces; query processing; semantic networks; uncertainty handling; approximative knowledge; experimental AI system; fuzzy labels; fuzzy semantic networks; fuzzy sets; natural language queries; new technological systems; novice users; online assistance; semantic networks; theoretical aspects; uncertain knowledge; Concrete; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Intelligent systems; Natural languages; Psychology; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence for Applications, 1995. Proceedings., 11th Conference on

Conference_Location

Los Angeles, CA

Print_ISBN

0-8186-7070-3

Type

conf

DOI

10.1109/CAIA.1995.378797

Filename

378797