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Information 2018, 9(2), 30;

UPCaD: A Methodology of Integration Between Ontology-Based Context-Awareness Modeling and Relational Domain Data

Instituto de Informática, Universidade Federal do Rio Grande do Sul, 91540-000 Porto Alegre, Brazil
Centro de Tecnologia, Universidade Federal de Santa Maria, 97105-900 Santa Maria, Brazil
Current address: Coordenadoria Acadêmica, Universidade Federal de Santa Maria, Cachoeira do Sul, Brazil.
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Received: 20 December 2017 / Revised: 21 January 2018 / Accepted: 26 January 2018 / Published: 30 January 2018
(This article belongs to the Special Issue Context Awareness)
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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. View Full-Text
Keywords: context-awareness; data query; relational database; linking rules; methodology context-awareness; data query; relational database; linking rules; methodology

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Maran, V.; Medeiros Machado, G.; Machado, A.; Augustin, I.; Palazzo M. de Oliveira, J. UPCaD: A Methodology of Integration Between Ontology-Based Context-Awareness Modeling and Relational Domain Data. Information 2018, 9, 30.

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