Nesic, Sasa and Rizzoli, Andrea Emilio and Athanasiadis, Ioannis N. and Donatelli, Marcello (2011) Publishing Agro-Environmental Data to a Semantically Unified Environmental Information Space: a Case Study. In: Innovations in Sharing Environmental Observation and Information 25th Enviroinfo Conference "Environmental Informatics", Ispra (VA), Italy.
Full text not available from this repository.Abstract
Publishing environmental data to Linked Open Data (LOD) requires environmental data providers to adopt a set of universally recognized linked data principles. These principles enable syntactic integration of the linked data regardless of the data publisher and origin. However, these principles do not provide any mechanism for semantic integration and interoperability of the linked data. In order to turn the linked en- vironmental data into a semantically unified environmental information space, the linked environmental data must be accompanied by conceptualized semantics defined in domain conceptualizations known as domain ontologies. Taking into account the linked data principles and domain ontologies we proposed a set of requirements and a data-publishing workflow for environmental data providers. In this paper we present a case study supporting our approach by delivering: 1) an agro-environmental domain ontology and 2) a supporting software system that realizes the proposed data-publishing workflow. We demonstrate the publishing workflow on publishing some example, agro-environmental resources provided by JRC MARS, which is one of the leading European institutions for monitoring agricultural resources founded by the European Commission
| Item Type: | Article in conference proceedings or Presentation at a conference (Paper) |
|---|---|
| Subjects: | Engineering > Civil engineering > Environmental engineering Computer sciences > Information systems > Information modelling Computer sciences > Information systems > Data management |
| Department/unit: | Dipartimento tecnologie innovative > Istituto Dalle Molle di studi sull’intelligenza artificiale USI-SUPSI |
| Depositing User: | Andrea Emilio Rizzoli |
| Date Deposited: | 11 Feb 2014 10:11 |
| Last Modified: | 11 Feb 2014 10:11 |
| URI: | http://repository.supsi.ch/id/eprint/3713 |
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