Projeto arquitetural de serviços de representação e agregação de informações de contexto baseadas em ontologias

• Ano de defesa: 2016
• Autor(a) principal: Marques, Guilherme Silva
• Orientador(a): Bulcão Neto, Renato de Freitas
• Banca de defesa: Rodrigues, Cássio Leonardo, Sene Junior, Iwens Gervasio
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Ciência da Computação (INF)
• Departamento: Instituto de Informática - INF (RG)
• País: Brasil
• Palavras-chave em Português: Projeto arquitetural; Sistemas sensíveis a contexto; Padrões de projeto; Avaliação; Semântica; Ontologia
• Palavras-chave em Inglês: Architectural design; Context-aware systems; Design patterns; Evaluation; Semantics; Ontology
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/6270

Dey et al. [10] define context as the information set that can be used to characterize the status of an entity (e.g. person, place or object relevant to the user-application interaction). Perera et al. [36] propose a context information life cycle in 4 phases: acquisition, modeling, reasoning and dissemination. Context modeling consists in representing the real world in computing and, according to Bettini et al. [2], a good information context modeling mitigates the complexity of context-aware applications. In the context of this work, a systematic review demonstrated that the literature has focused on context information modeling, but with less emphasis on the architectural project. The main problem addressed on this work is the creation and evaluation of architectural projects that work together on the context modeling phase of a Semantic Context-Aware System (SCAS), which uses ontologies as main information modeling technique. This work proposes an architectural solution to two relevant services of the ontology-based context modeling phase: the former represents context information collected through sensors, and the latter aggregates context information represented by the former for a same individual or entity. Both architectural designs were built using well-known architectural styles and design patterns, as well as were evaluated against architectural designs of similar projects. As a result, the main contributions include the architectural designs of ontology-based services for context representation and aggregation as references for the development of SCAS in terms of the context modeling phase.