Zobrazeno 1 - 10
of 116
pro vyhledávání: '"metadades"'
Autor:
Miquel Centelles Velilla
Publikováno v:
BiD: Textos Universitaris de Biblioteconomia i Documentació, Iss 51 (2023)
Externí odkaz:
https://doaj.org/article/fd2ae215dc9546338e6c602b3b3256a8
Autor:
Mingfang Wu, Hans Brandhorst, Maria-Cristina Marinescu, Joaquim More Lopez, Margorie Hlava, Joseph Busch
Publikováno v:
Data Intelligence. 5:122-138
Automated metadata annotation is only as good as training dataset, or rules that are available for the domain. It's important to learn what type of data content a pre-trained machine learning algorithm has been trained on to understand its limitation
This work explores the potential of large language models (LLMs), specifically GPT-3.5, in improving the quality of data in Open Data portals. Recent studies in the machine learning (ML) community and legislative initiatives like the European AI ACT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1404::a17a029e56f71c962c0a70aaa2068f8b
https://ddd.uab.cat/record/280712
https://ddd.uab.cat/record/280712
The ability to cross data from multiple sources represents a competitive advantage for organizations. Yet, the governance of the data lifecycle, from the data sources into valuable insights, is largely performed in an ad-hoc or manual manner. This is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04f4cfbb9bba200ff8898900910af616
https://hdl.handle.net/2117/378233
https://hdl.handle.net/2117/378233
Publikováno v:
Repositorio Digital de la UPF
Universitat Pompeu Fabra
Universitat Pompeu Fabra
This work has been accepted at the 23rd International Society for Music Information Retrieval Conference (ISMIR 2022), at Bengaluru, India. December 4-8, 2022. This paper revisits the idea of music representation learning supervised by editorial meta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8b93483362f34b3717c6a653e55c967
Publikováno v:
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Universitat Autònoma de Barcelona
El projecte consisteix en la creació d'un entorn virtual, a partir de les màquines vulnerables disponibles de Metasploitable, el qual comptarà amb diferents màquines vulnerables. La finalitat és exposar les vulnerabilitats trobades en el project
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3400211759fb8fd16e39c3c39d6efe68
https://ddd.uab.cat/record/264220
https://ddd.uab.cat/record/264220
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Open-source science builds on open and free resources that include data, metadata, software, and workflows. Informed decisions on whether and how to (re)use digital datasets are dependent on an understanding about the quality of the underpinning data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6654f607b455f5b9a182fb9581567927
http://hdl.handle.net/2117/367350
http://hdl.handle.net/2117/367350
Autor:
Prat Marín, Oriol
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Una dada no és res més que un element informatiu que acostuma a tenir una interpretació directa. Ara bé, si es reuneix un conjunt de dades fiables i de qualitat i s'explota la informació que se n'obté, poden arribar a ser un dels actius més im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4d391dd52a205cf7b104cd4afea47e15
http://hdl.handle.net/2117/373137
http://hdl.handle.net/2117/373137
Publikováno v:
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Journal of information science (2020): 1–26. doi:10.1177/0165551520961048
info:cnr-pdr/source/autori:Alfonso Quarati, Juliana E Raffaghelli/titolo:Do researchers use open research data? Exploring the relationships between usage trends and metadata quality across scientific disciplines from the Figshare case/doi:10.1177%2F0165551520961048/rivista:Journal of information science/anno:2020/pagina_da:1/pagina_a:26/intervallo_pagine:1–26/volume
Universitat Oberta de Catalunya (UOC)
Journal of information science (2020): 1–26. doi:10.1177/0165551520961048
info:cnr-pdr/source/autori:Alfonso Quarati, Juliana E Raffaghelli/titolo:Do researchers use open research data? Exploring the relationships between usage trends and metadata quality across scientific disciplines from the Figshare case/doi:10.1177%2F0165551520961048/rivista:Journal of information science/anno:2020/pagina_da:1/pagina_a:26/intervallo_pagine:1–26/volume
Open research data (ORD) have been considered a driver of scientific transparency. However, data friction, as the phenomenon of data underutilisation for several causes, has also been pointed out. A factor often called into question for ORD low usage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2b6ea9e5ed2fb75b96e2982edd14469
http://hdl.handle.net/11577/3439872
http://hdl.handle.net/11577/3439872
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The VLDB journal
Universitat Politècnica de Catalunya (UPC)
The VLDB journal
Document stores have become one of the key NoSQL storage solutions. They have been widely adopted in different domains due to their ability to store semi-structured data and expressive query capabilities. However, implementations differ in terms of c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39734b8c2079edfb0f701617494efac4
https://hdl.handle.net/2117/346433
https://hdl.handle.net/2117/346433