Database Ontology-Supported Query for Ubiquitous Environments
ResumoOne of the main research opportunities regarding the use of contextual information is the context and relational databases integration. This integration allows the better contextualized retrieval of data. This paper presents a set of rules, which used with an ontological model, allows the integration of context and domain data. This approach enables the data retrieved through SQL queries to be returned in a contextualized manner, without the need to change the database schema originally used. Another advantage is the use of queries originally defined in systems, thus, it is not necessary to perform a re-engineering of the system. The model evaluation was carried out through the development of a case study applied to a virtual learning environment. The results show that the rules allow a filtering using the context of interest, resulting in a more meaningful data recovery.
MARAN, Vinícius; MACHADO, Guilherme Medeiros; MACHADO, Alencar; AUGUSTIN, Iara; LIMA, João Carlos Damasceno; OLIVEIRA, José Palazzo M. de. Database Ontology-Supported Query for Ubiquitous Environments. In: SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 23. , 2017, Gramado. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2017 . p. 185-188.