Enabling Spatio-Temporal Search in Open Data

Publikation: Wissenschaftliche FachzeitschriftOriginalbeitrag in FachzeitschriftBegutachtung

Abstract

Intuitively, most datasets found on governmental Open Data portals are organized by spatio-temporal criteria, that is, single datasets provide data for a certain region, valid for a certain time period. Likewise, for many use cases (such as, for instance, data journalism and fact checking) a pre-dominant need is to scope down the relevant datasets to a particular period or region. Rich spatio-temporal annotations are therefore a crucial need to enable semantic search for (and across) Open Data portals along those dimensions, yet – to the best of our knowledge – no working solution exists. To this end, we (i) present a scalable approach to construct a spatio-temporal knowledge graph that hierarchically structures geographical as well as temporal entities, (ii) annotate a large corpus of tabular datasets from open data portals with entities from this knowledge graph, and (iii) enable structured, spatio-temporal search and querying over Open Data catalogs, both via a search interface as well as via a SPARQL endpoint, available at data.wu.ac.at/odgraphsearch/.
OriginalspracheEnglisch
Seiten (von - bis)21 - 36
FachzeitschriftJournal of Web Semantics
Jahrgang55
DOIs
PublikationsstatusVeröffentlicht - 2019

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

  • 102
  • 102015 Informationssysteme
  • 502050 Wirtschaftsinformatik

Schlagwörter

  • Open data
  • Spatio-temporal labelling
  • knowledge graph

Zitat