[CfP] Deadline extended: FOAM 2024: FAIR principles for Ontologies and Metadata in Knowledge Management

Apologies for potential cross-posting.

FOAM is a new workshop merging the Workshop on Ontologies for FAIR and FAIR
Ontologies (Onto4FAIR <https://onto4fair.github.io/>), the Conceptual
Modeling, Ontologies and Metadata Management for Findable, Accessible,
Interoperable and Reusable (FAIR) Data (CMOMM4FAIR
<https://cmomm4fair.github.io/>) and the FAIR Ontology Harmonization and
TRUST Data Interoperability Workshop (FOHTI
<https://fohti.github.io/FOHTI-2023/>).

*Website*: https://w3id.org/foam/

The main *objectives* of this workshop are:

   1. to bring together new methods for enabling FAIR research outputs
   (data, software, workflows, ontologies, mappings, etc.) through ontologies
   and vocabularies
   2. discuss techniques, metrics and guidelines to improve the FAIRness of
   ontologies and vocabularies
   3. to share experiences, identify new challenges and opportunities
   applying FAIR for different community

*Important dates*

   -     *May 3rd, 2024: Workshop paper submission deadline*
   -     May 27th, 2024: Workshop author notification
   -     July 30, 2024: Camera ready (post-conference proceedings)
   -     July 15-19, 2024: FOAM workshop

*The topics of interest* include, but are not limited to, the following:

   - ontologies, schemas and vocabularies for FAIR data and metadata;
   - domain and cross-domain ontologies for FAIR research outputs (data,
   software, mappings, workflows, ontologies, ML models, etc.);
   - techniques, methods and tools to increase the FAIRness of vocabularies
   and ontologies;
   - FAIR ontology harmonisation, mapping, alignment, merging and
   modularisation;
   - best practices on modeling FAIR research outputs;
   - semantic descriptions of FAIR digital objects;
   - challenges in FAIR research output management and modeling;
   - novel applications of 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;
   - Application of the FAIR principles in scientific communities (life
   science, digital humanities, health, smart cities, etc.)

*Workshop Organizers*

   -     Cassia Trojahn, Institut de Recherche en Informatique de Toulouse,
   France
   -     Daniel Garijo, Ontology Engineering Group, Universidad Politécnica
   de Madrid, Spain
   -     María Poveda Villalón, Ontology Engineering Group, Universidad
   Politécnica de Madrid, Spain
   -     César Henrique Bernabé, Leiden University Medical Center, the
   Netherlands
   -     Asiyah Yu Lin, Axle Research and Technology, USA

More information about submission guidelines is available in the workshop
website: https://w3id.org/foam/

Best,
FOAM organization committee.