Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Simon Scerri"'
This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and pers
Autor:
Edward Curry, Tuomo Tuikka, Andreas Metzger, Sonja Zillner, Natalie Bertels, Charlotte Ducuing, Davide Dalle Carbonare, Sergio Gusmeroli, Simon Scerri, Irene López de Vallejo, Ana García Robles
Publikováno v:
Curry, E, Tuikka, T, Metzger, A, Zillner, S, Bertels, N, Ducuing, C, Carbonare, D D, Gusmeroli, S, Scerri, S, Lopez de Vallejo, I & García Robles, A 2022, Data Sharing Spaces: The BDVA Perspective . in B Otto, M ten Hompel & S Wrobel (eds), Designing Data Spaces : The Ecosystem Approach to Competitive Advantage . Springer, pp. 365-382 . https://doi.org/10.1007/978-3-030-93975-5
Designing Data Spaces ISBN: 9783030939748
Designing Data Spaces ISBN: 9783030939748
Using data and Artificial Intelligence, it is possible to answer the big questions, how sustainable the planet is or what impact industry has on climate. The Big Data Value Association (BDVA) believes that Data Sharing Spaces will be a key enabler to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ab58a625c7d382fb1eec65bf533e28b
https://cris.vtt.fi/en/publications/14277b2c-2c3d-4218-a672-98c7c90755c8
https://cris.vtt.fi/en/publications/14277b2c-2c3d-4218-a672-98c7c90755c8
Autor:
Jim Kenneally, Simon Scerri, Nuria De Lama, Thomas Hahn, Davide Dalle Carbonare, Södergård Caj, Ana García Robles, Edward Curry, Sonja Zillner, Laure Le Bars, Marie Claire Tonna, Dirk Mayer, Robert Seidl
Publikováno v:
Zillner, S, Le Bars, L, De Lama, N, Scerri, S, García Robles, A, Tonna, M C, Kenneally, J, Mayer, D, Hahn, T, Caj, S, Seidl, R, Carbonare, D D & Curry, E 2021, A Roadmap to Drive Adoption of Data Ecosystems . in E Curry, A Metzger, S Zillner, J-C Pazzaglia & A García Robles (eds), The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem . Springer, pp. 41-62 . https://doi.org/10.1007/978-3-030-68176-0_3
The Elements of Big Data Value ISBN: 9783030681753
The Elements of Big Data Value ISBN: 9783030681753
To support the adoption of big data value, it is essential to foster, strengthen, and support the development of big data value technologies, successful use cases and data-driven business models. At the same time, it is necessary to deal with many di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94491e5a96626252d85496de0331b93b
https://cris.vtt.fi/en/publications/679871c2-3d7d-437c-9489-a95f00645e5a
https://cris.vtt.fi/en/publications/679871c2-3d7d-437c-9489-a95f00645e5a
Publikováno v:
IFIP Advances in Information and Communication Technology
35th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC)
35th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), Sep 2020, Maribor, Slovenia. pp.370-383, ⟨10.1007/978-3-030-58201-2_25⟩
ICT Systems Security and Privacy Protection ISBN: 9783030582005
SEC
ICT Systems Security and Privacy Protection
ICT Systems Security and Privacy Protection-35th IFIP TC 11 International Conference, SEC 2020, Maribor, Slovenia, September 21–23, 2020, Proceedings
IFIP Advances in Information and Communication Technology-ICT Systems Security and Privacy Protection
35th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC)
35th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), Sep 2020, Maribor, Slovenia. pp.370-383, ⟨10.1007/978-3-030-58201-2_25⟩
ICT Systems Security and Privacy Protection ISBN: 9783030582005
SEC
ICT Systems Security and Privacy Protection
ICT Systems Security and Privacy Protection-35th IFIP TC 11 International Conference, SEC 2020, Maribor, Slovenia, September 21–23, 2020, Proceedings
IFIP Advances in Information and Communication Technology-ICT Systems Security and Privacy Protection
Part 9: Privacy and Security Management; International audience; Digital service users are routinely exposed to Privacy Policy consent forms, through which they enter contractual agreements consenting to the specifics of how their personal data is ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e56b0436d60f353b8d01f35dc6f80f5c
https://hal.inria.fr/hal-03440825/file/497034_1_En_25_Chapter.pdf
https://hal.inria.fr/hal-03440825/file/497034_1_En_25_Chapter.pdf
Autor:
Simon Scerri, Elisa Margareth Sibarani
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030590505
DEXA (2)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Database and Expert Systems Applications
Database and Expert Systems Applications-DEXA 2020
DEXA (2)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Database and Expert Systems Applications
Database and Expert Systems Applications-DEXA 2020
In this paper, we consider a dataset compiled from online job adverts for consecutive fixed periods, to identify whether repeated and automated observation of skills requested in the job market can be used to predict the relevance of skillsets and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3b5b606b57dde50aafff16c290c9ebd
https://doi.org/10.1007/978-3-030-59051-2_25
https://doi.org/10.1007/978-3-030-59051-2_25
Publikováno v:
iiWAS
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services
Increasing data volumes have extensively increased application possibilities. However, accessing this data in an ad hoc manner remains an unsolved problem due to the diversity of data management approaches, formats and storage frameworks, resulting i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bd4498b61b2895848582c3b59b8224c
https://doi.org/10.1145/3366030.3366054
https://doi.org/10.1145/3366030.3366054
Publikováno v:
Journal of Web Semantics
The analysis of increasingly large and diverse data for meaningful interpretation and question answering is handicapped by human cognitive limitations. Consequently, semi-automatic abstraction of complex data within structured information spaces beco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c23882231bbd4271757f0d02e176f622
https://doi.org/10.1016/j.websem.2017.12.004
https://doi.org/10.1016/j.websem.2017.12.004
Publikováno v:
WWW
The World Wide Web Conference
The World Wide Web Conference
Squerall is a tool that allows the querying of heterogeneous, large-scale data sources by leveraging state-of-the-art Big Data processing engines: Spark and Presto. Queries are posed on-demand against a Data Lake, i.e., directly on the original data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f40035705d46a84e2a972f790f6aa1f
https://doi.org/10.1145/3308558.3314132
https://doi.org/10.1145/3308558.3314132
Autor:
Elisa Margareth Sibarani, Simon Scerri
Publikováno v:
Web Information Systems Engineering – WISE 2019 ISBN: 9783030342227
WISE
WISE
Understanding the needs of highly-dynamic job market sectors is of crucial importance to job seekers, employers, and educational bodies alike. This paper describes efforts to identify skill demand composition and dynamics by constructing and interpre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e812076ee9d3bcdaaf52b4d950b4b717
https://doi.org/10.1007/978-3-030-34223-4_28
https://doi.org/10.1007/978-3-030-34223-4_28
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030036669
EKAW
EKAW
Although the use of apps and online services comes with accompanying privacy policies, a majority of end-users ignore them due to their length, complexity and unappealing presentation.pite the potential risks. In light of the, now enforced EU-wide, G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::143a8f1eb0a387f8b8b56a95cd67b374
https://doi.org/10.1007/978-3-030-03667-6_17
https://doi.org/10.1007/978-3-030-03667-6_17