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Specifying ubiquitous systems through the algebra of contextualized ontologies

Published online by Cambridge University Press:  21 March 2014

Isabel Cafezeiro
Affiliation:
Departamento de Ciência da Computação, Universidade Federal Fluminense, Niterói, Brasil; e-mail: [email protected], [email protected]
José Viterbo
Affiliation:
Departamento de Ciência da Computação, Universidade Federal Fluminense, Niterói, Brasil; e-mail: [email protected], [email protected]
Alexandre Rademaker
Affiliation:
Departamento de Informática, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, Brasil; e-mail: [email protected], [email protected], [email protected], [email protected]
Edward Hermann Haeusler
Affiliation:
Departamento de Informática, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, Brasil; e-mail: [email protected], [email protected], [email protected], [email protected]
Markus Endler
Affiliation:
Departamento de Informática, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, Brasil; e-mail: [email protected], [email protected], [email protected], [email protected]

Abstract

In order to be able to specify and design ubiquitous applications, it is necessary to rely on a precise and formal representation of context. Aiming at reducing the gap between the formal specification and the design of a concrete ubiquitous application, we have proposed an approach to specify a context-aware system at three levels of abstraction. This specification uses the Algebra of Contextualized Ontologies, which is based on Category Theory and takes contextualization as a basic notion, proposing a small set of simple and powerful operations to compose and decompose contextualized ontologies. In this paper, we present a revised version of the algebra and algorithms to compute the algebraic operations. We exemplify our approach along with a concrete ubiquitous computing scenario. Moreover, by taking advantage of Category Theory foundations, we show that it is possible to derive the algorithms for each algebraic operation from simple modifications of a single basic algorithm.

Type
Articles
Copyright
Copyright © Cambridge University Press 2014 

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