Detailed Information on Publication Record
2016
An INSPIRE-based vocabulary for the publication of Agricultural Linked Data
PALMA, Raúl, Tomáš ŘEZNÍK, Miguel ESBRÍ, Karel CHARVÁT, Cezary MAZUREK et. al.Basic information
Original name
An INSPIRE-based vocabulary for the publication of Agricultural Linked Data
Authors
PALMA, Raúl (616 Poland), Tomáš ŘEZNÍK (203 Czech Republic, guarantor, belonging to the institution), Miguel ESBRÍ (724 Spain), Karel CHARVÁT (203 Czech Republic) and Cezary MAZUREK (616 Poland)
Edition
Švýcarsko, Ontology Engineering (Lecture Notes in Computer Science), p. 124-133, 10 pp. 2016
Publisher
Springer International Publishing
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
Earth magnetism, geodesy, geography
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14310/16:00089161
Organization unit
Faculty of Science
ISBN
978-3-319-33245-1
ISSN
UT WoS
000389703000013
Keywords in English
linked data; semantics; agriculture; INSPIRE; OWL
Tags
International impact, Reviewed
Změněno: 26/4/2017 20:50, Ing. Andrea Mikešková
Abstract
V originále
FOODIE project aims at building an open and interoperable agricultural specialized platform on the cloud for the management, discovery and largescale integration of data relevant for farming production. In particular, the integration focuses on existing open datasets as well as their publication in Linked data format in order to maximize their reusability and enable the exploitation of the extra knowledge derived from the generated links. Based on such data, for instance, FOODIE platform aims at providing high-value applications and services supporting the planning and decision-making processes of different stakeholders related to the agricultural domain. The keystone for data integration is FOODIE data model, which has been defined by reusing and extending current standards and best practices, including data specifications from the INSPIRE directive which are in turn based on the ISO/OGC standards for geographical information. However, as these data specifications are available as XML documents, the first step to publish Linked Data required transforming or lifting FOODIE data model into semantic format. In this paper, we describe this process, which was conducted semi-automatically by reusing existing tools, and adhering to the mapping rules for transforming geographic information UML models to OWL ontologies defined by the ISO 19150-2 standard. We describe the challenges associated to this transformation, and finally, we describe the generated ontology, providing an INSPIRE-based vocabulary for the publication of Agricultural Linked Data.
Links
| MUNI/A/1370/2014, interní kód MU |
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