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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.
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| 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) |
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http://hdl.handle.net/11567/252667
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