** With apologies for multiple posting **
-------------- Onto4FAIR Workshop at SEMANTICS 2022 --------------
1st Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR) in conjunction with SEMANTiCS 2022, Vienna, Austria
Website: https://onto4fair.github.io
-------------- Important dates --------------
- **July 04, 2022 (11:59 pm, Hawaii time)**: Submission deadline (extension) - July 30, 2022 (11:59 pm, Hawaii time): Notification of acceptance - August 15, 2022 (11:59 pm, Hawaii time): Camera-ready version - September 13, 2022: Workshop
The workshop is planned to take place physically in Vienna, Austria. https://2022-eu.semantics.cc/venue
-------------- Presentation --------------
Making the huge and diverse kinds of data produced by researchers, data stewards, and service providers, fully reusable and understood requires specific efforts. The Findable, Accessible, Interoperable and Reusable (FAIR) principles were elaborated to address these issues, describing a set of requirements for data reusability and interoperability. These principles have been gaining increasing attention in a range of different areas and applications, including in the industrial area.
A key aspect in making data FAIR is the ability of machines to automatically find, access, interoperate, and reuse data with none or minimal human intervention. For that, the ability of properly and semantically describing data is essential.
The workshop has the following main goals: - to bring together leaders from academia, industry and user institutions to discuss the adoption of FAIR principles in real-world requirements. - to serve to inform industry and user representatives about existing research efforts that may meet their requirements. - to investigate how the FAIR principles are supported by the use of schemes, vocabulaires, and ontologies that ideally are themselves FAIR.%, including creation, reuse and alignment of schemas, vocabularies and ontologies, to support the FAIR principles and their adoption in diverse areas of application. - to discuss the challenges and perspectives in adopting FAIR principles.
-------------- Workshop topics --------------
The topics of interest include, but are not limited to, the following: - schemes, ontologies and vocabulaires for FAIR data and metadata; - domain and cross-domain ontologies for FAIR data; - making vocabularies and ontologies FAIR; - alignment of schemes, vocabulaires and ontologies for FAIR; - data management for FAIR data; - best practices for implementing the FAIR principles; - FAIRification process and use cases; - metrics for FAIRness assessment; - provenance in FAIR environments; - FAIR principles and open science; - FAIR principles and linked open data; - FAIR in industry, scientific communities (life science, digital humanities, health, smart cities, etc.).
-------------- Submissions --------------
- Full research papers: 12 pages (including references). - Short papers: 6 pages (including references).
Please submit your contribution on EasyChair ( https://easychair.org/conferences/submissions?a=28690100). Submissions must be in PDF, formatted in the style of LNCS conference proceedings. The workshop proceedings will be published in the CEUR-WS.org online proceedings.
-------------- Workshop Chairs -------------- - Luiz Olavo Bonino da Silva Santos, University of Twente and Leiden University Medical Center, the Netherlands - Giancarlo Guizzardi, Free University of Bozen-Bolzano, Italy & University of Twente, the Netherlands - Clement Jonquet, French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and STatistics for Environment and Agronomy research unit, Montpellier, France - Cassia Trojahn, Institut de Recherche en Informatique de Toulouse, France
-------------- Program Committee --------------
(to be completed)
Joao Paulo Almeida, Federal University of Espirito Santo Emna Amdouni, Université de Lyon 2 Nathalie Aussenac-Gilles, IRIT CNRS Maria Luiza Campos, PPGI - IM/NCE - Federal University of Rio de Janeiro Daniel Garijo, Universidad Politécnica de Madrid María Poveda-Villalón, Universidad Politécnica de Madrid Tiago Prince Sales, Free University of Bozen-Bolzano
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Cassia