Toward a domain-independent semantic model for context-aware computing

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Abstract

Context-aware systems assist people's everyday tasks by adapting their behavior based on context information gathered from instrumented environments. Context is any relevant information describing entities in a user-computer interaction. A pertinent issue to developing such systems is how to represent context. High-level context models prevent the development of ad hoc and limited schemes for context management. Moreover, the more formal a context model is, the better is the ability for reasoning about context. This paper presents our work toward a domain-independent ontology-based context model, which provides a set of general classes, properties, and relations so lower ontologies can import them for particular domains. We show how this context model can be extended in a ubiquitous e-learning scenario on campus. Built upon our model, we also present a configurable service infrastructure for the prototyping of semantic context-aware systems. © 2005 IEEE.

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De Neto, R. F. B., & Da Pimentel, M. G. C. (2005). Toward a domain-independent semantic model for context-aware computing. In Proceedings - Third Latin American Web Congress, LA-WEB 2005 (Vol. 2005, pp. 61–70). https://doi.org/10.1109/LAWEB.2005.43

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