Uma proposta de ontologia para residências inteligentes buscando a integração de dispositivos
A smart home is able to acquire and apply knowledge about the environment and autonomously adapt to its inhabitants. These spaces contain a diversity of devices that need to interact and there are also many commercial protocols for automation. This heterogeneity hinders the interoperability between...
| Autor: | |
|---|---|
| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | Brasil |
| Institución: | Universidade Tecnológica Federal do Paraná (UTFPR) |
| Repositorio: | Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT)) |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.utfpr.edu.br:1/1025 |
| Acceso en línea: | http://repositorio.utfpr.edu.br/jspui/handle/1/1025 |
| Access Level: | acceso abierto |
| Palabra clave: | Ontologia Computação ubíqua Automação residencial Computação Ontology Ubiquitous computing Home automation Computer science |
| Sumario: | A smart home is able to acquire and apply knowledge about the environment and autonomously adapt to its inhabitants. These spaces contain a diversity of devices that need to interact and there are also many commercial protocols for automation. This heterogeneity hinders the interoperability between devices turning the application dependent on a single technology for an effective communication. In the same way, domotic systems have dynamic services and the mobility of new devices from time to time requires the ability to discovery when a new service have been added and, when necessary, establish a new communication related to this new context. Finally, automation systems also need to perceive the real world and interpret it. The signals received from sensors have no value unless they are interpreted against the context of the residence. Ontologies can help to solve these three problems formally representing the domain. It enables a common understanding of information through a semantic model and enables the execution of explicit assumptions to the context of residence. Thus, this dissertation proposes integration ontology for a smart house that represents the environment, devices, people and software agents creating the relationships and reasoning about rules for interaction. The consistency of the ontology was assessed in relation to its competence and a prototype was created to validate the practical application of the model. |
|---|