Explorando Modelos Contextuais Híbridos: uma Abordagem Composicional
Abstract
The Current proposals of hybrid context modeling brings with it new challenges, among which can cite the form of access and processing of data by applications. Thinking in that, this paper proposes an alternative to solve this problem through a compositional approach to context information in the hybrid models, titled EXEHDA-HM. The proposed approach stands out for the conception of a compositional processing strategy based on rules, which enables the application to combine contextual information stored in different models in a single rule, with the intention to facilitate the identification of situations of interest. To evaluate the approach was developed a case study using a repository composed of a non-relational and triple model, the results achieved stimulate continuation of the research.
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