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.
Highlights
Context-Awareness is a key feature in recent information systems
To evaluate the UPCaD methodology, we applied it in the scenario presented in Section 3, based on the use of CARLO recommender system and the Massive Open On-line Course (MOOC) platform used in a university
The sensitivity to context modeled in ontologies presents a series of advantages over other models of representation and for this reason, it has been constantly used in works related to the ubiquitous computing
Summary
Context-Awareness is a key feature in recent information systems. It was developed from ubiquitous computing scenarios, as described by Mark Weiser [1]. Recent research [4,5,6] demonstrated that context modeling based on ontologies is the approach that best meets important requirements for ubiquitous systems, such as extensibility and the level of formality required to represent contexts. Based on the context modeling developed in ontologies, tools and methodologies have been created to persist and recover this information in ubiquitous systems [7,8,9]. Ubiquitous systems uses many information sources, including ontologies and databases, to retrieve content related to the user [10].
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