Paper Info
Title
SP-ACT: A hybrid framework for complex activity recognition combining OWL and SPARQL rules
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.
Year
DOI
Venue
2013
10.1109/PerComW.2013.6529451
Pervasive Computing and Communications Workshops
Keywords
Field
DocType
SQL,graph theory,knowledge representation languages,ontologies (artificial intelligence),temporal reasoning,ubiquitous computing,OWL ontology,SP-ACT,SPARQL CONSTRUCT graph pattern,SPARQL rule,SPIN rule,activity abstraction,activity-related information,complex activity recognition,complex context element,context-aware environment,data source,high-level activity interpretation,hybrid framework,native semantics,ontology-based context modelling paradigm,temporal reasoning,OWL,SPARQL,activity recognition,context
Ontology (information science),Graph theory,SQL,Ontology,Activity recognition,Computer science,SPARQL,Artificial intelligence,Natural language processing,Named graph,Semantics
Conference
ISSN
ISBN
Citations 
2474-2503
978-1-4673-5076-1
14
PageRank 
References 
Authors
0.65
21
4
Name
Order
Citations
PageRank
Georgios Meditskos1140.65
Stamatia Dasiopoulou2141.33
Vasiliki Efstathiou3140.99
Ioannis Kompatsiaris4174.73