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Enabling Spatio-Temporal Search in Open Data

23 Pages Posted: 20 Dec 2018 First Look: Accepted

See all articles by Sebastian Neumaier

Sebastian Neumaier

Vienna University of Economics and Business; Vienna University of Technology

Axel Polleres

Vienna University of Economics and Business; Complexity Science Hub Vienna; Stanford University

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/.

Keywords: open data, spatio-temporal labelling, spatio-temporal knowledge graph

Suggested Citation

Neumaier, Sebastian and Polleres, Axel, Enabling Spatio-Temporal Search in Open Data (December 20, 2018). Available at SSRN: https://ssrn.com/abstract=3304721 or http://dx.doi.org/10.2139/ssrn.3304721

Sebastian Neumaier (Contact Author)

Vienna University of Economics and Business ( email )

Welthandelsplatz 1
Vienna, Wien 1020
Austria

Vienna University of Technology ( email )

Karlsplatz 13
Vienna
Austria

Axel Polleres

Vienna University of Economics and Business ( email )

Welthandelsplatz 1
Vienna, Wien 1020
Austria

Complexity Science Hub Vienna ( email )

Josefstädter Straße 39
Vienna
Austria

Stanford University ( email )

Stanford, CA 94305
United States

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