Nesic, Sasa and Athanasiadis, Ioannis N. and Rizzoli, Andrea Emilio (2012) Publishing Agro-Environmental Resources to the Linked Environmental Data. International Journal of Metadata, Semantic and Ontologies, 7 (1). pp. 25-36. ISSN 1744-2621
Full text not available from this repository.Abstract
Publishing environmental resources to the linked environmental data requires resource publishers to conform to a set of universally recognised linked data principles. These principles, however, do not consider domain-specific semantics that are crucial for building a semantically unified environmental information space over the linked environmental data. In this paper we present an approach to publishing agro-environmental resources to the linked environmental data that extends the universal linked data principles by taking into account domain semantics of the agro-environmental domain. The approach relies on an underlying environmental resource model and introduces a set of publishing principles that should enable semantic integration of the linked agro-environmental resources. According to the proposed principles this integration happens over time as a result of conjoint acting of the resource providers and resource users. In order to prove feasibility of the approach we developed a supporting software system called AGROPub. In this paper we demonstrate three main use-cases of the system: resource annotation and publishing; resource linking; resource evaluation, on the example of some real-world agro-environmental resources. The processes realised by these three AGROPub use-cases, all together, should enable the full integration of the linked agro-environmental resources into the semantically unified environmental information space.
| Item Type: | Scientific journal article, Newspaper article or Magazine article |
|---|---|
| Uncontrolled Keywords: | linked data, semantic annotation and linking, environmental resource modelling |
| Subjects: | Computer sciences |
| Department/unit: | Dipartimento tecnologie innovative > Istituto Dalle Molle di studi sull’intelligenza artificiale USI-SUPSI |
| Depositing User: | Andrea Emilio Rizzoli |
| Date Deposited: | 19 Dec 2012 08:58 |
| Last Modified: | 09 May 2016 12:38 |
| URI: | http://repository.supsi.ch/id/eprint/1054 |
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