http://www.cnr.it/ontology/cnr/individuo/prodotto/ID284096
EARTh: an Environmental Application Reference Thesaurus in the Linked Open Data Cloud (Articolo in rivista)
- Type
- Label
- EARTh: an Environmental Application Reference Thesaurus in the Linked Open Data Cloud (Articolo in rivista) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.3233/SW-130122 (literal)
- Alternative label
R. Albertoni, M. De Martino, S. Di Franco, V. De Santis and P. Plini (2014)
EARTh: an Environmental Application Reference Thesaurus in the Linked Open Data Cloud
in Semantic web (Print)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- R. Albertoni, M. De Martino, S. Di Franco, V. De Santis and P. Plini (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- Scopu (literal)
- Google Scholar (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Ontology Engineering Group. Dpto. de Inteligencia Artificial Facultad de Informática, Universidad Politécnica
de Madrid 28660, Boadilla del Monte, Madrid, Spain
CNR-IMATI, Via De Marini, 6, 16149 Genova, Italy
CNR-IIA-EKOLab - Environmental Knowledge Organization Laboratory, Area della Ricerca di Roma 1,
Via Salaria Km 29,300 C.P. 10, I-00016 Monterotondo stazione RM, Italy (literal)
- Titolo
- EARTh: an Environmental Application Reference Thesaurus in the Linked Open Data Cloud (literal)
- Abstract
- The paper aims at providing a description of EARTh, the Environmental Application Reference Thesaurus. It represents
a general-purpose thesaurus for the environment, which has been published as a SKOS dataset in the Linked Open Data
cloud. It promises to become a core tool for indexing and discovery environmental resources by refining and extending GEMET,
which is considered the de facto standard when speaking of general-purpose thesaurus for the environment in Europe,
besides it has been interlinked to popular LOD datasets as AGROVOC, EUROVOC, DBPEDIA and UMTHES. The paper
illustrates the main characteristics of EARTh as a guide to its usage. It clarifies (i) the methodology adopted to define the
EARTh content; (ii) the design and technological choices made when publishing EARTh as Linked Data; (iii) the information
pertaining to its access and maintenance. Descriptions of EARTh applications and future relevance are highlighted. (literal)
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