Paper Info
Title
Ontology patterns for complex activity modelling
Abstract
In this paper we propose an activity patterns ontology to formally represent the relationships that drive the derivation of complex activities in terms of the activity types and temporal relations that need to be satisfied. The patterns implement the descriptions and situations (DnS) ontology pattern of DOLCE Ultra Lite, modelling activity classes of domain ontologies as instances. The aim is to allow the formal representation of activity interpretation models over activity classes that are generally characterized by intricate temporal associations, and where it is often the case that the aggregation of individual activities entails the existence of a new (composite) activity. Due to the expressive limitations of OWL, these semantics are often defined outside the ontology language, e.g. they are encapsulated in rules and they are tightly-coupled with implementation frameworks, hindering the interoperability and reuse of the underlying knowledge. As a proof of concept, we describe the implementation of the activity pattern semantics using dynamically generated SPARQL rules in terms of CONSTRUCT graph patterns.
Year
DOI
Venue
2013
10.1007/978-3-642-39617-5_15
RuleML
Keywords
Field
DocType
activity type,domain ontology,activity pattern semantics,activity pattern,activity class,activity interpretation model,ontology pattern,ontology language,complex activity modelling,modelling activity class,individual activity,complex activity
Ontology (information science),Data mining,Ontology,Process ontology,Interoperability,Computer science,SPARQL,Theoretical computer science,Proof of concept,Semantics,Database,Ontology language
Conference
Citations 
PageRank 
References 
9
0.50
26
Authors
4
Name
Order
Citations
PageRank
Georgios Meditskos128434.76
S. Dasiopoulou227718.37
Vasiliki Efstathiou3484.08
Ioannis Kompatsiaris41404197.36