Atualizado em 14/outubro/2020
Information 2018, 9(2), 30; doi:10.3390/info9020030
Vinícius Maran 1,3 Guilherme Medeiros Machado 1, Alencar Machado 2, Iara Augustin 2, and José Palazzo M. de Oliveira 1
1 Instituto de Informática, Universidade Federal do Rio Grande do Sul, 91540-000 Porto Alegre, Brazil
2 Centro de Tecnologia, Universidade Federal de Santa Maria, 97105-900 Santa Maria, Brazil
3 Coordenadoria Acadêmica, Universidade Federal de Santa Maria, Cachoeira do Sul, Brazil.
Abstract: Context-awareness is a key feature for ubiquitous computing scenarios applications. Currently, technologies and methodologies have been proposed for the integration of context-awareness concepts in intelligent information systems to adapt them to the execution of services, user interfaces and data retrieval. Recent research proposed conceptual modeling alternatives to the integration of the domain modeling in RDBMS and context-awareness modeling. The research described using highly expressiveness ontologies. The present work describes the UPCaD (Unified Process for Integration between Context-Awareness and Domain) methodology, which is composed of formalisms and processes to guide the data integration considering RDBMS and context modeling. The methodology was evaluated in a virtual learning environment application. The evaluation shows the possibility to use a highly expressive context ontology to filter the relational data query and discusses the main contributions of the methodology compared with recent approaches.
Keywords: context-awareness; data query; relational database; linking rules; methodology