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Titolo:
A KNOWLEDGE LEVEL ANALYSIS OF TAXONOMIC DOMAINS
Autore:
DOMINGO M; SIERRA C;
Indirizzi:
CSIC,SPANISH COUNCIL SCI RES,ARTIFICIAL INTELLIGENCE INST,IIIA BARCELONA 08193 SPAIN
Titolo Testata:
International journal of intelligent systems
fascicolo: 2, volume: 12, anno: 1997,
pagine: 105 - 135
SICI:
0884-8173(1997)12:2<105:AKLAOT>2.0.ZU;2-2
Fonte:
ISI
Lingua:
ENG
Soggetto:
EXPERT-SYSTEMS; IDENTIFICATION; LOGIC;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
CompuMath Citation Index
CompuMath Citation Index
Science Citation Index Expanded
Citazioni:
32
Recensione:
Indirizzi per estratti:
Citazione:
M. Domingo e C. Sierra, "A KNOWLEDGE LEVEL ANALYSIS OF TAXONOMIC DOMAINS", International journal of intelligent systems, 12(2), 1997, pp. 105-135

Abstract

The Knowledge Level (KL) is an abstract level of description, prior to the symbol or software level, which aims at discovering the components of expertise without thinking of computational aspects. The KL analysis emphasizes the regularities in knowledge use for knowledge engineering. We consider the knowledge level analysis the AI counterpart of the specification of programs. Then, it must be possible to define formal ways of putting in relation the KL analysis with computational elements that implement it. The ultimate goal of the research presented in this article is to contribute in the filling of the gap between specification at the KL and implementation. To do so we propose (i) a particular interpretation of the three main concepts involved in the knowledge level theories, i.e., tasks, methods, and domain models, and (ii)a mapping between these notions and computational elements of Milord II, a shell developed at the IIIA Institute and used as the target programming environment of an example in biological identification. (C) 1997 John Wiley & Sons, Inc.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 02/06/20 alle ore 02:00:06