Level-Wise Exploration of Linked and Big Data Guided by Controlled Vocabularies and Folksonomies

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Etat: Public
Version: Final published version
ID Serval
serval:BIB_A98E734FFE1D
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Level-Wise Exploration of Linked and Big Data Guided by Controlled Vocabularies and Folksonomies
Périodique
Advances in Classification Research Online
Auteur⸱e⸱s
Andritsos P., Keilty P.
ISSN
2324-9773
Statut éditorial
Publié
Date de publication
09/01/2014
Peer-reviewed
Oui
Volume
24
Numéro
1
Pages
1
Langue
anglais
Résumé
This paper proposes a level-wise exploration of linked and big data guided by controlled vocabularies and folksonomies. We leverage techniques from both Reconstructability Analysis and cataloging and classification research to provide solutions that will structure and store large amounts of metadata, identify links between data, and explore data structures to produce
models that will facilitate effective information retrieval.
Mots-clé
Big Data, Subject Classification, Reconstructability Analysis
Open Access
Oui
Création de la notice
22/08/2017 10:04
Dernière modification de la notice
21/08/2019 6:10
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