SP-ACT: A hybrid framework for complex activity recognition combining OWL and SPARQL rules

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Abstract

In this paper we describe SP-ACT, a hybrid framework for the derivation of high-level activity interpretations in context-aware environments, by defining a combination of OWL ontologies and SPARQL CONSTRUCT graph patterns. More specifically, the native semantics of OWL is used to formally represent and integrate activity-related information originated from different data sources, whereas SPARQL (SPIN) rules further aggregate activities so as to derive highlevel activity abstractions. The goal of the hybrid framework is to address the limitations of the ontology-based context modelling paradigm in domains that require the recognition of complex context elements, namely, the lack of support for (i) temporal reasoning and (ii) new named individual assertions.

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