CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishThis paper introduces a context model to be used in context-aware cognitive artificial systems. The framework, that is aimed at integrating ontology and logic approaches to context modeling, assumes the availability of both an ontology (i.e., a representation of what exists) and a simple inference schema (i.e., subsumption). The context model is defined using a formal protocol, which describes contexts and situations as recursive structures grounded with respect to the ontology. Examples are presented to discuss the proposed model.
Scheda prodotto non validato
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
| Titolo: | A framework for context-awareness in artificial systems | |
| Autori: | ||
| Data di pubblicazione: | 2008 | |
| Serie: | ||
| Abstract: | This paper introduces a context model to be used in context-aware cognitive artificial systems. The framework, that is aimed at integrating ontology and logic approaches to context modeling, assumes the availability of both an ontology (i.e., a representation of what exists) and a simple inference schema (i.e., subsumption). The context model is defined using a formal protocol, which describes contexts and situations as recursive structures grounded with respect to the ontology. Examples are presented to discuss the proposed model. | |
| Handle: | http://hdl.handle.net/11567/252667 | |
| ISBN: | 3-540-85562-9 | |
| Appare nelle tipologie: | 02.01 - Contributo in volume (Capitolo o saggio) |
File in questo prodotto:
http://hdl.handle.net/11567/252667
Copyright © 2022