Conference paper Open Access
Krieger, Hans-Ulrich; Declerck, Thierry
Representing time-dependent information has become increasingly important for reasoning and querying services deﬁned on top of
RDF and OWL. In particular, addressing this task properly is vital for practical applications such as modern biographical information
systems, but also for the Semantic Web/Web 2.0/Social Web in general. Extending binary relation instances with temporal information
often translates into a massive proliferation of useless container objects when trying to keep the underlying RDF model. In this paper,
we argue for directly extending RDF triples with further arguments in order to easily represent time-dependent factual knowledge and
to allow for practical forms of reasoning. We also report on a freely available lightweight OWL ontology for representing biographical
knowledge that models entities of interest via a tri-partite structure of the pairwise disjoint classes Abstract, Object, and Happening.
Even though the ontology was manually developed utilizing the Prot´
ege´ ontology editor, and thus sticking to the triple model of RDF,
the meta-modelling facilities allowed us to cross-classify all properties as being either synchronic or diachronic. When viewing the
temporal arguments as “extra” arguments that only apply to relation instances, universal biographical knowledge from the ontology can
still be described as if there is no time.