CAMeOnto: Context awareness meta ontology modeling

Autor: Jose Aguilar, Marxjhony Jerez, Taniana Rodríguez
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Applied Computing and Informatics, Vol 14, Iss 2, Pp 202-213 (2018)
Druh dokumentu: article
ISSN: 2210-8327
DOI: 10.1016/j.aci.2017.08.001
Popis: In order to model a context and adapt it to any domain, it is necessary an ontology that captures generic concepts to a higher level. The context model must provide mechanisms to extend the specific information of a context in a hierarchical manner. In this paper, we propose CAMeOnto, an ontology with these characteristics, based on the principles of 5Ws: who, when, what, where and why. CAMeOnto is used by CARMiCLOC, a reflective middleware for context-aware applications, and is instantiated in several case studies, in order to test how CAMeOnto works correctly and can reason to infer information about the context. Keywords: Context-awareness, Ontologies, Meta ontologies, Context modeling
Databáze: Directory of Open Access Journals