Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Marco Leontino"'
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4378 (2021)
The research question this paper aims at answering is the following: In an ontology-driven annotation system, can the information extracted from external resources (namely, Wikidata) provide users with useful suggestions in the characterization of en
Externí odkaz:
https://doaj.org/article/a39c6d1553e546a29df2eabeac72fa5c
Publikováno v:
Journal on Computing and Cultural Heritage. 15:1-24
This article relies on the idea that a semantically rich metadata layer is required in order to provide an effective, intelligent, and engaging access to historical archives. However, building such a semantic layer represents a well-known bottleneck
Publikováno v:
Applied Sciences, Vol 11, Iss 4378, p 4378 (2021)
Applied Sciences
Volume 11
Issue 10
Applied Sciences
Volume 11
Issue 10
The research question this paper aims at answering is the following: In an ontology-driven annotation system, can the information extracted from external resources (namely, Wikidata) provide users with useful suggestions in the characterization of en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98327e01e01315fbdd8e67f42240584e
http://hdl.handle.net/2318/1788778
http://hdl.handle.net/2318/1788778
Autor:
Paolo Tripodi, Daniele Paolo Radicioni, Marco Leontino, Guido Bonino, Enrico Pasini, Giulio Carducci
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030112257
IRCDL
IRCDL
In this paper we illustrate a system aimed at solving a longstanding and challenging problem: acquiring a classifier to automatically annotate bibliographic records by starting from a huge set of unbalanced and unlabelled data. We illustrate the main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa0f70db9931550dff6dae7f2fb0ba7c
Autor:
Rossana Damiano, Davide Colla, Diego Magro, Marco Leontino, Enrico Mensa, Fabrizio Loreto, Matteo D'Ambrosio, Antonio Lieto, Stefano Musso, Annamaria Goy, Cristina Accornero, Daniele Paolo Radicioni, Alice Montanaro, Dunia Astrologo, Valeria Mosca, Cristina Re
Publikováno v:
KMIS
Scopus-Elsevier
Scopus-Elsevier
In this paper we present the mid-term results of the PRiSMHA project, aimed to contribute in building a digital “smart archivist”, i.e., a web-based system providing an innovative access to historical archives. Such a system is endowed with a sem
Tool for annotating the data, training the classifier and classifying the corpus.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6e6cefc0ea0c6d30085677594811053