Contributo in atti di convegno, 2016, ENG, 10.1007/978-3-319-49157-8_3
R. Albertoni, M. De Martino, and P. Podesta
Istituto di Matematica Applicata e Tecnologie Informatiche, Consiglio Nazionale delle Ricerche, Via de Marini, 6, Genova, 16149, Italy
Recently a great number of controlled vocabularies (e.g., thesauri) covering several domains and shared by different communities, have been published and interlinked using the Linked Data paradigm. Remarkable efforts have been spent from data producers to make their thesauri compliant with Linked Data requirements both for the content encoding and for the connections (aka, linkset) with others thesauri. Also in our experience in the creation of the framework of multilingual linked thesauri for the environment (LusTRE), within the EU funded project eENVplus, the development of the interlinking among thesauri, have required significant efforts, thus, the evaluation of their quality in term of usefulness and enrichment of information became a critical issue. In this paper, to support our claim, we discuss the results of the quality evaluation of several linksets created in LusTRE. To this purpose, we consider two quality measures, the average linkset reachability and the average linkset importing, able to quantify the linkset-accessible information.
Metadata and Semantics Research 10th International Conference, MTSR 2016, pp. 27–39, Göttingen, Germany, November 22-25, 2016
Linkset quality, SKOS, Linked data, Environmental thesauri, Metadata
Podesta Paola, De Martino Monica, Albertoni Riccardo
IMATI – Istituto di matematica applicata e tecnologie informatiche "Enrico Magenes"
ID: 368159
Year: 2016
Type: Contributo in atti di convegno
Creation: 2017-03-08 12:16:34.000
Last update: 2021-03-23 12:20:31.000
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1007/978-3-319-49157-8_3
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-85000613367&partnerID=q2rCbXpz
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:368159
DOI: 10.1007/978-3-319-49157-8_3
Scopus: 2-s2.0-85000613367
ISI Web of Science (WOS): 000399947700003