DATASET

Mappings of reference and thematic environmental thesauri

Collection: GENESIS : GENeric European Sustainable Information Space for Environment 

Description

This dataset include the mappings across a number of multilingual thesauri for environmental data, developed in the framework of the GENESIS project (https://cordis.europa.eu/project/rcn/87874) by using the SemanticLab collaborative platform set up by JRC (now discontinued).

These mappings are based on the use cases collected by the EuroGEOSS project (https://cordis.europa.eu/project/rcn/92593), and are used by the semantic search functionality of the GEO Discovery and Access Broker (http://www.eurogeoss-broker.eu/).

NB: These data are no longer maintained.

The covered thesauri are the following ones:

- Reference thesauri:

- General Multilingual Environmental Thesaurus (GEMET)

- INSPIRE Feature Concept Dictionary

- INSPIRE Glossary

- INSPIRE Themes

- GEOSS Societal Benefit Areas (SBA)

- ISO 19119 Geographic Service Taxonomy

- GEOSS Earth Observation Vocabulary

- GCMD Science Keywords

- EuroVoc (domains 36, 48, 52, 56, 60, and 66)

- Thematic thesauri:

- GEOSS AIP-3 Hydrosphere Vocabulary

- EuroGEOSS Drought Vocabulary

- Cadastre and Land Administration Thesaurus

- Mapped thesauri:

- General Multilingual Environmental Thesaurus (GEMET)

- INSPIRE Themes

- EuroGEOSS Drought Vocabulary

- GEOSS Earth Observation Vocabulary

- GEOSS Societal Benefit Areas (SBA)

- GCMD Science Keywords

Contact

Email
jrc-data-support (at) ec.europa.eu

Contributors

  • GENESIS FP7 Project

How to cite

European Commission, Joint Research Centre (JRC) (2018): Mappings of reference and thematic environmental thesauri. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/jrc-10129-10001

Keywords

geospatial data GEOSS multilingual semantic alignment semantic search SKOS thesauri

Data access

RDF/XML dump of the SemanticLab triple store
URL 
  • Zip archive including an RDF/XML dump of the SemanticLab Sesame triple store, including the defined mappings, represented with SKOS, along with the corresponding thematic and reference thesauri.

Publications

Publication 2011
Coupling human- and machine-driven mapping of SKOS thesauri
Coupling human- and machine-driven mapping of SKOS thesauri, International Journal of Metadata, Semantics and Ontologies (IJMSO), 6, 2011, JRC67487.
  • Inderscience Enterprises Ltd., Genèva , Switzerland
Publication page 
  • Abstract

    This paper elaborates on the importance of the SKOS format for developing thesauri in the context of Spatial Data Infrastructures and presents a prototype application supporting one of the most important tasks for the harmonisation of SKOS thesauri, i.e., relating independent categorisations of terms that may be developed by distinct thematic communities. This work outlines the main sources for SDI-related thesauri that are currently available and addresses the many challenges that shall be tackled in order to streamline the development process associated with these resources. The paper also describes the ongoing activities for the extension of the tool to support automatic derivation of mappings through recourse to ontology matching tools and algorithms.

Publication 2010
Matching SKOS Thesauri for Spatial Data Infrastructures
Fugazza C, Vaccari L, Dupke S. Matching SKOS Thesauri for Spatial Data Infrastructures. In: 4th International Conference on Metadata and Semantics Research (MTSR`10); 20 October 2010; Alcalá (Spain). Communications in Computer and Information Science - Metadata and Semantic Research 108; 2010.p. 211-221. JRC59439
  • Springer, Berlin, Geramny
Publication page 
  • Abstract

    This paper outlines the importance of the SKOS format for developing thesauri in the context of Spatial Data Infrastructures and presents a

    prototype application supporting one of the most important tasks for the harmonisation of thesauri in this domain, i.e., relating independent categorisations of terms that may be developed by distinct thematic communities of interest.

    This work outlines the main sources for SDI-related thesauri that are currently available and addresses the many challenges that shall be tackled in order to streamline the development process associated with these resources. The paper also describes the possible usages of these

    semantics-aware data structures for the purpose of resource annotation by metadata maintainers and query expansion processes for supporting the end user.

Additional information

Published by
European Commission, Joint Research Centre
Created date
2018-12-14
Modified date
2018-12-20
Issued date
2018-11-15
Language(s)
English
Data theme(s)
Environment, Science and technology
Update frequency
irregular
Identifier
http://data.europa.eu/89h/jrc-10129-10001
Popularity