http://www.cnr.it/ontology/cnr/individuo/prodotto/ID282872
Requirement Analysis Abstractions for AmI System Design (Articolo in rivista)
- Type
- Label
- Requirement Analysis Abstractions for AmI System Design (Articolo in rivista) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.3233/IFS-141217 (literal)
- Alternative label
Patrizia Ribino, Massimo Cossentino, Carmelo Lodato, Salvatore Lopes, Valeria Seidita (2014)
Requirement Analysis Abstractions for AmI System Design
in Journal of intelligent & fuzzy systems
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Patrizia Ribino, Massimo Cossentino, Carmelo Lodato, Salvatore Lopes, Valeria Seidita (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://iospress.metapress.com/content/V153R167342KG2P7 (literal)
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Istituto di Calcolo e Reti ad alte Prestazioni, Consiglio Nazionale delle Ricerche, Palermo, Italy
Istituto di Calcolo e Reti ad alte Prestazioni, Consiglio Nazionale delle Ricerche, Palermo, Italy
Istituto di Calcolo e Reti ad alte Prestazioni, Consiglio Nazionale delle Ricerche, Palermo, Italy
Istituto di Calcolo e Reti ad alte Prestazioni, Consiglio Nazionale delle Ricerche, Palermo, Italy
Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Universitá degli Studi di Palermo, Palermo, Italy (literal)
- Titolo
- Requirement Analysis Abstractions for AmI System Design (literal)
- Abstract
- Current trends in the AI's evolution are going towards enriching environments with intelligence in order to support humans in their everyday life. AmI systems are plunged in the real world and humans expect to interact with them in a way that is similar to the one they have with other humans. In this kind of systems, where eliciting requirements involves several documents and stakeholders (mainly users that will be the first consumers of the system), the requirement analysis phase can be affected by incomplete, ambiguous and imprecise information. Hence, the need to find a fruitful way for knowledge management and its representation at design time. In this paper we propose a set of abstractions to be used during the early requirements analysis of AmI systems development. The result is a simple and at the same time powerful set of concepts and guidelines for providing environment knowledge representation for AmI systems. (literal)
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