Enabling Spatio-Temporal Search in Open Data

Publikation: Working/Discussion PaperWU Working Paper

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, in the present paper 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 http://data.wu.ac.at/odgraphsearch/
OriginalspracheEnglisch
ErscheinungsortVienna
HerausgeberDepartment für Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business
PublikationsstatusVeröffentlicht - 4 Apr. 2018

Publikationsreihe

NameWorking Papers on Information Systems, Information Business and Operations
Nr.01/2018
ISSN (Druck)2518-6809

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