Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Miguel, Ceriani"'
Publikováno v:
Information, Vol 15, Iss 9, p 565 (2024)
Ontologies are essential for the management and integration of heterogeneous datasets. This paper presents OntoBuilder, an advanced tool that leverages the structural capabilities of semantic labeled property graphs (SLPGs) in strict alignment with s
Externí odkaz:
https://doaj.org/article/b4a10bfa623f4adaa9d066e0512b6027
Publikováno v:
Information, Vol 14, Iss 9, p 483 (2023)
In the era of big data, linked data interfaces play a critical role in enabling access to and management of large-scale, heterogeneous datasets. This survey investigates forty-seven interfaces developed by the semantic web community in the context of
Externí odkaz:
https://doaj.org/article/bb367e1b7d104ec5aa683230f659d373
Publikováno v:
International Journal on Digital Libraries. 24:1-22
This paper presents ARCA, a software system that enables semantic search and exploration over a book catalog. The main purpose of this work is twofold: to propose a general paradigm for a semantic enrichment workflow and to evaluate a visual approach
Autor:
Miguel Ceriani, Fabio Viola, Saša Rudan, Francesco Antoniazzi, Mathieu Barthet, György Fazekas
Publikováno v:
Journal of Web Semantics. 77:100787
Publikováno v:
Linking Theory and Practice of Digital Libraries ISBN: 9783031168017
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9f1bfd1ba22f8a76d570359eb674a17
https://doi.org/10.1007/978-3-031-16802-4_49
https://doi.org/10.1007/978-3-031-16802-4_49
Publikováno v:
CHItaly
This work focuses on the use of a specific type of visualization to analyze soccer matches and highlight individual players’ goal contributions. An analytic approach in team sports is nowadays considered crucial by both practitioners and other inte
Autor:
Mecella, Massimo, Bernasconi, Eleonora, Miguel, Ceriani, DI FAZIO, Clara, Capanna, Maria Cristina, Roberto, Marcucci, Erik, Pender, Fabio, Petriccione
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3686::960549f8410361e46b9bafe1613ae621
http://hdl.handle.net/11573/1559586
http://hdl.handle.net/11573/1559586
Autor:
Roberto Marcucci, Erik Pender, Tiziana Catarci, Clara Di Fazio, Fabio Maria Petriccione, Miguel Ceriani, Maria Cristina Capanna, Eleonora Bernasconi, Massimo Mecella
Publikováno v:
AVI
In this demo paper, we present ARCA, a visual-search based system that allows the semantic exploration of a bookstore. Navigating a domain-specific knowledge graph, students and researchers alike can start from any specific concept and reach any othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::face00bbe25d03c2c8b980f77b210a2e
http://hdl.handle.net/11573/1443631
http://hdl.handle.net/11573/1443631
Publikováno v:
Digital Libraries: The Era of Big Data and Data Science ISBN: 9783030399047
IRCDL
IRCDL
Searching in a library or book catalog is a recurrent task for researchers and common users alike. Thanks to semantic enrichment techniques, such as named-entity recognition and linking, texts may be automatically associated with entities in some ref
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a77e1bb37971d88a49fbe4ba186c88a0
https://doi.org/10.1007/978-3-030-39905-4_8
https://doi.org/10.1007/978-3-030-39905-4_8