Linked data and time-modeling researcher life lines by events

Johannes Trame, Carsten Keßler, Werner Kuhn

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

14 Citationer (Scopus)

Abstract

Most datasets on the Linked Data Web impose a static view on the represented entities and relations between them, neglecting temporal aspects of the reality they represent. In this paper, we address the representation of resources in their spatial, temporal and thematic context. We review the controversial proposals for the representation of time-dependent relations on the Linked Data Web. We argue that representing and using such relations is made hard through the direct encoding of inadequate conceptualizations, rather than through inherent limitations of the representation language RDF. Using the example of researcher life lines extracted from curricula vitæ, we show how to model sequences of activities in terms of events. We build upon the event participation pattern from the DOLCE Ultralite+DnS Ontology and show how places and social roles that people play during their careers relate to events. Furthermore, we demonstrate how scientific achievements can be related to events in a career trajectory by means of temporal reasoning.

OriginalsprogEngelsk
TitelSpatial Information Theory - 11th International Conference, COSIT 2013, Proceedings
Antal sider19
Vol/bind8116 LNCS
Publikationsdato2013
Sider205-223
ISBN (Trykt)9783319017891
DOI
StatusUdgivet - 2013
Begivenhed11th International Conference on Spatial Information Theory, COSIT 2013 - Scarborough, Storbritannien
Varighed: 2 sep. 20136 sep. 2013

Konference

Konference11th International Conference on Spatial Information Theory, COSIT 2013
Land/OmrådeStorbritannien
ByScarborough
Periode02/09/201306/09/2013
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind8116 LNCS
ISSN0302-9743

Fingeraftryk

Dyk ned i forskningsemnerne om 'Linked data and time-modeling researcher life lines by events'. Sammen danner de et unikt fingeraftryk.

Citationsformater