An INSPIRE-based vocabulary for the publication of Agricultural
Linked Data

D 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

DOI

http://dx.doi.org/10.1007/978-3-319-33245-1_13

UT WoS

000389703000013

Keywords in English

linked data; semantics; agriculture; INSPIRE; OWL

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

Name: Globální environmentální změny v krajinné sféře Země v čase a prostoru (Acronym: GlobST)

Investor: Masaryk University, Category A

Citovat

PALMA, Raúl, Tomáš ŘEZNÍK, Miguel ESBRÍ, Karel CHARVÁT and Cezary MAZUREK. An INSPIRE-based vocabulary for the publication of Agricultural Linked Data. In Ontology Engineering (Lecture Notes in Computer Science). Švýcarsko: Springer International Publishing, 2016, p. 124-133. ISBN 978-3-319-33245-1. Available from: https://dx.doi.org/10.1007/978-3-319-33245-1_13.

@inproceedings{1316202,
   author = {Palma, Raúl and Řezník, Tomáš and Esbrí, Miguel and Charvát, Karel and Mazurek, Cezary},
   address = {Švýcarsko},
   booktitle = {Ontology Engineering (Lecture Notes in Computer Science)},
   doi = {http://dx.doi.org/10.1007/978-3-319-33245-1_13},
   keywords = {linked data; semantics; agriculture; INSPIRE; OWL},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Švýcarsko},
   isbn = {978-3-319-33245-1},
   pages = {124-133},
   publisher = {Springer International Publishing},
   title = {An INSPIRE-based vocabulary for the publication of Agricultural Linked Data},
   year = {2016}
}

TY  - JOUR
ID  - 1316202
AU  - Palma, Raúl - Řezník, Tomáš - Esbrí, Miguel - Charvát, Karel - Mazurek, Cezary
PY  - 2016
TI  - An INSPIRE-based vocabulary for the publication of Agricultural Linked Data
PB  - Springer International Publishing
CY  - Švýcarsko
SN  - 9783319332451
KW  - linked data
KW  - semantics
KW  - agriculture
KW  - INSPIRE
KW  - OWL
N2  - 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.
ER  -

PALMA, Raúl, Tomáš ŘEZNÍK, Miguel ESBRÍ, Karel CHARVÁT and Cezary MAZUREK. An INSPIRE-based vocabulary for the publication of Agricultural Linked Data. In \textit{Ontology Engineering (Lecture Notes in Computer Science)}. Švýcarsko: Springer International Publishing, 2016, p.~124-133. ISBN~978-3-319-33245-1. Available from: https://dx.doi.org/10.1007/978-3-319-33245-1\_{}13.

Detailed Information on Publication Record