Automated Semantic Validation of Crowdsourced Local Information - The Case of the Web Application "Climate Twins"

Alexander Kaufmann (Vortragende:r), Jan Peters-Anders, Sinan Yurtsever, Luca Petronzio

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

Climate Twins is a freely accessible Web application which provides easily comprehensible information on the projected climate developments in Europe at a regional level. Climate Twins is based on the idea that an Impression of the future climate of a specific region can be received by indicating regions which have a similar present climate. Within the 7th EU FP Project "TaToo" ontology-based functionalities have been added to the basic Climate Twins Web application in order to allow users to enrich the original information base - restricted to only two climate parameters ('temperature' and 'precipitation') - by themselves by adding any further geo-located Information which they consider relevant in the context of a specific local climate (e.g. Information on local vegetation and fauna). This kind of crowdsourcing Information raises the problem of safeguarding the quality of the added information. In this paper the authors show how the domain ontology of Climate Twins can be used to semantically validate the coherence of new entries in order to prevent incorrect links.
OriginalspracheEnglisch
TitelEnvironmental Software Systems. Fostering Information Sharing. 10th IFIP WG 5.11 International Symposium, ISESS 2013, Proceedings
Redakteure/-innenJiri Hrebicek, Gerald Schimak, Miroslav Kubásek, Andrea E. Rizzoli
Seiten23-30
Seitenumfang8
DOIs
PublikationsstatusVeröffentlicht - 2013
VeranstaltungISESS 2013 - Environmental Software Systems. Fostering Information Sharing. -
Dauer: 9 Okt. 201311 Okt. 2013

Konferenz

KonferenzISESS 2013 - Environmental Software Systems. Fostering Information Sharing.
Zeitraum9/10/1311/10/13

Research Field

  • Ehemaliges Research Field - Energy
  • Ehemaliges Research Field - Digital Safety and Security
  • Ehemaliges Research Field - Innovation Systems and Policy

Schlagwörter

  • semantics
  • information enrichment
  • climate change

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