Quotation Neumaier, Sebastian, Polleres, Axel. 2019. Enabling Spatio-Temporal Search in Open Data. Journal of Web Semantics. 55 21-36.


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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/.

Tags

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  • Open data
  • Spatio-temporal labelling
  • knowledge graph

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Journal of Web Semantics
Citation Index SCI
WU-Journal-Rating new INF-A
Language English
Title Enabling Spatio-Temporal Search in Open Data
Volume 55
Year 2019
Page from 21
Page to 36
Reviewed? Y
URL http://www.sciencedirect.com/science/article/pii/S1570826818300696
DOI https://doi.org/10.1016/j.websem.2018.12.007
Open Access N

Associations

People
Neumaier, Sebastian (Details)
Polleres, Axel (Details)
Organization
Applied Information Technology (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1108 Informatics (Details)
1109 Information and data processing (Details)
1138 Information systems (Details)
1146 Management information systems (Details)
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