Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Caterina Caracciolo"'
Autor:
Caterina Caracciolo, Sophie Aubin, Clement Jonquet, Emna Amdouni, Romain David, Leyla Garcia, Brandon Whitehead, Catherine Roussey, Armando Stellato, Ferdinando Villa
Publikováno v:
Data Science Journal, Vol 22, Iss 1 (2023)
This article details a correction to the article: Caracciolo, C., Aubin, S., Jonquet, C., Amdouni, E., David, R., Garcia, L., Whitehead, B., Roussey, C., Stellato, A. and Villa, F., 2020. 39 Hints to Facilitate the Use of Semantics for Data on Agricu
Externí odkaz:
https://doaj.org/article/e1be0d4ca2c142f4b2883fd08cdcdab0
Autor:
Caterina Caracciolo, Sophie Aubin, Clement Jonquet, Emna Amdouni, Romain David, Leyla Garcia, Brandon Whitehead, Catherine Roussey, Armando Stellato, Ferdinando Villa
Publikováno v:
Data Science Journal, Vol 19, Iss 1 (2020)
In this paper, we report on the outputs and adoption of the Agrisemantics Working Group of the Research Data Alliance (RDA), consisting of a set of recommendations to facilitate the adoption of semantic technologies and methods for the purpose of dat
Externí odkaz:
https://doaj.org/article/8f6c2f1e04c4458b929a4e350c6eb445
Autor:
Romain David, Armando Stellato, Caterina Caracciolo, Clement Jonquet, Brandon Whitehead, Sophie Aubin, Catherine Roussey, Emna Amdouni, Ferdinando Villa, Leyla Garcia
Publikováno v:
CODATA Data Science Journal
CODATA Data Science Journal, Committee on Data for Science and Technology (CODATA), 2020, 19 (1), ⟨10.5334/dsj-2020-047⟩
Addi. Archivo Digital para la Docencia y la Investigación
instname
CODATA Data Science Journal, 2020, 19 (1), ⟨10.5334/dsj-2020-047⟩
Data Science Journal, Vol 19, Iss 1 (2020)
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Data Science Journal
Data Science Journal; Vol 19 (2020); 47
CODATA Data Science Journal, Committee on Data for Science and Technology (CODATA), 2020, 19 (1), ⟨10.5334/dsj-2020-047⟩
Addi. Archivo Digital para la Docencia y la Investigación
instname
CODATA Data Science Journal, 2020, 19 (1), ⟨10.5334/dsj-2020-047⟩
Data Science Journal, Vol 19, Iss 1 (2020)
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Data Science Journal
Data Science Journal; Vol 19 (2020); 47
In this paper, we report on the outputs and adoption of the Agrisemantics Working Group of the Research Data Alliance (RDA), consisting of a set of recommendations to facilitate the adoption of semantic technologies and methods for the purpose of dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecbe6179c3ef746decc620688595c581
http://arxiv.org/abs/2012.08325
http://arxiv.org/abs/2012.08325
Publikováno v:
Metadata and Semantic Research ISBN: 9783030144005
MTSR
MTSR
The paper reports on activities carried within the Agrisemantics Working Group of the Research Data Alliance (RDA). The group investigated on what are the current problems research and practitioners experience in their work with semantic resources fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6ea53fba6e82a0c1db6d3992a600472
https://agrixiv.org/eapdv
https://agrixiv.org/eapdv
Autor:
Sophie Aubin, Caterina Caracciolo, Panagiotis Zervas, Pascal Aventurier, Patrice Buche, Andres Ferreyra, Guojian Xian, Clement Jonquet, Antonis Koukourikos, Valeria Pesce, Ivo Júnior Pierozzi, Catherine Roussey, Anne Toulet, Ferdinando Villa, Brandon Whitehead, Xuefu Zhang, Erick Antezana
Publikováno v:
[Research Report] Research Data Alliance. 2017, pp.59
HAL
HAL
In this document we aim at composing a high level overview of the use of semantics in the production, exchange and use of agricultural data. In particular, we focus on the use of semantics for data management, and the resources, tools and services av
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8b6f1366967020d1cacf4c79240ee922
https://hal.inrae.fr/hal-02607815/document
https://hal.inrae.fr/hal-02607815/document
Publikováno v:
F1000Research, 6
F1000Research 6 (2017)
F1000Research 6 (2017)
Correct and reliable linkage of independently produced information is a requirement to enable sophisticated applications and processing workflows. These can ultimately help address the challenges posed by complex systems (such as socio-ecological sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19d0b4a845dd6ddb8108c82521cf64f9
https://research.wur.nl/en/publications/semantics-for-interoperability-of-distributed-data-and-models-fou
https://research.wur.nl/en/publications/semantics-for-interoperability-of-distributed-data-and-models-fou
Autor:
ADRIAN M.P. BRASOVEANU, Armando Stellato, Caterina Caracciolo, Marta Sabou, Sachit Rajbhandari
Publikováno v:
Semantic Web. 4:271-276
The TourMISLOD dataset exposes as linked data a significant portion of the content of TourMIS, a key source of European tourism statistics data. TourMISLOD contains information about the Arrivals, Bednights and Capacity tourism indicators, recorded f
Autor:
Sachit Rajbhandari, Armando Stellato, Ahsan Morshed, Caterina Caracciolo, Johannes Keizer, Gudrun Johannsen, Yves Jaques
Publikováno v:
Semantic Web. 4:341-348
Born in the early eighties as a multilingual authority file of agricultural index terms, AGROVOC has steadily evolved these last thirty years, moving to an electronic version around the year 2000 and shortly thereafter embracing the Semantic Web. Tod
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319491561
MTSR
MTSR
The most frequently used concepts from AGROVOC, CABT, and NALT { three major thesauri in the area of food and agriculture { have been merged into a Global Agricultural Concept Scheme, with 15,000 concepts and over 350,000 terms in 28 languages in its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0525a7ab39564daee81277324a239157
https://doi.org/10.1007/978-3-319-49157-8_27
https://doi.org/10.1007/978-3-319-49157-8_27
Autor:
Manuel Fiorelli, Armando Stellato, Caterina Caracciolo, Tiziano Lorenzetti, Maria Teresa Pazienza, Andrea Turbati, Johannes Keizer, Sachit Rajbhandari
Publikováno v:
The Semantic Web. Latest Advances and New Domains ISBN: 9783319188171
ESWC
ESWC
We introduce VocBench, an open source web application for editing thesauri complying with the SKOS and SKOS-XL standards. VocBench has a strong focus on collaboration, supported by workflow management for content validation and publication. Dedicated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80b2b0ee9a493c7e6f2f0e7e1e778461
http://hdl.handle.net/2108/132133
http://hdl.handle.net/2108/132133