Event order generation using Reference Event based qualitative Temporal (REseT) relations in Time Event Ontology

Abstract

OWL (Web Ontology Language) is the standard language for Semantic Web and is used in defining ontologies for Web. Temporal event data are ubiquitous in nature. Temporal data can be represented qualitatively using temporal relations in OWL, enabling temporal ordering of events which plays a vital role in task planners. The basic Allen's temporal interval relations can be used to describe relations in OWL. Allen's interval algebra is a well known formalism used to represent and reason the temporal knowledge. In this work, Allen's interval algebra is extended by Reference Event based Temporal (REseT) relations to reduce the ambiguity in the before relation. The extended formalism is used in the representation of relations between time intervals and the viability of ordering of events in ontology is elucidated. This paper proposes a temporal knowledge representation and reasoning based event ordering system which helps in the temporal ordering of events. The advantage of this method is that it does not introduce any additional constructs in OWL and hence the existing reasoning tools and DL based query languages are capable of generating the linear order of events. The system is investigated experimentally using the COW (Correlates of War) dataset and has been evaluated using the Percent_ Similarity measure.

Event model to facilitate data sharing among services: Closing the gap between research and implementation

“…Ontologies are required in event models such as Event F [19][19], OntoEvent [16], REseT [25], and LODE [21]. In some cases, as in OntoEvent and REseT, the ontology was created specifically for the event model.…”