About the workshop

The Workshop on Controlled Vocabularies and Data platforms for Smart Food Systems (SmartFood) is part of the 42nd International Conference on Conceptual Modeling (ER2023).

The future of food production and consumption is being shaped now as a combination of different kinds of technology, including among others big data, mobile technologies, robotics, remote-sensing services, virtual and augmented reality, distributed computing, the Internet of things, adaptive systems, Semantic Web technologies, etc. In fact, this field is also often referred to as Smart Food Systems, Digital agriculture, e-Agriculture, Agriculture 4.0, or Smart Agriculture. Agriculture is still considered one of the least digitized productive sectors in the world, and it can profit from the benefits of digitization and research effort in this direction.

Semantic Web applications are observed in different domains of agriculture and smart food systems, playing an important role in data interoperability, sharing, and reuse. Controlled vocabularies are systematic arrangements of concepts developed by communities of practice to cover their needs in terms of data description. These vocabularies can be formalized in standard Semantic Web languages such as RDF and OWL, which allows other communities to reuse them and also allow machines to make more accurate analysis with data. 

Proceedings

Access the proceedings: Advances in Conceptual Modeling: https://doi.org/10.1007/978-3-031-47112-4  

Accepted papers:

Sedrakyan, G., Gavai, A., van Hillegersberg, J. (2023). Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption. In: Sales, T.P., Araújo, J., Borbinha, J., Guizzardi, G. (eds) Advances in Conceptual Modeling. ER 2023. Lecture Notes in Computer Science, vol 14319. Springer, Cham. https://doi.org/10.1007/978-3-031-47112-4_29  

Figueroa, C., Ayadi, N.Y., Audoux, N., Faron, C. (2023). CoffeeWKG: A Weather Knowledge Graph for Coffee Regions in Colombia. In: Sales, T.P., Araújo, J., Borbinha, J., Guizzardi, G. (eds) Advances in Conceptual Modeling. ER 2023. Lecture Notes in Computer Science, vol 14319. Springer, Cham. https://doi.org/10.1007/978-3-031-47112-4_30  

Soares, F. M., Bergier, I., Coradini, M. C., Ferreira, A. P. L., Telles, M. A., Dos Santos Maculan, B. C. M., De Cléofas Faggion Alencar, M., Simão, V. P. M., De Almeida, B. T., Drucker, D. P., Machado Vieira, M. D. S., & Da Cruz, S. M. S. (2023). Unveiling knowledge organization systems’ artifacts for digital agriculture with lexical network analysis. In T. P. Sales, J. Araújo, J. Borbinha, & G. Guizzardi (Eds.), Advances in Conceptual Modeling (Vol. 14319, pp. 299–311). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-47112-4_28 

 Workshop topics of interest include, but are not restricted to:

• Conceptual Modeling Targeting Smart Food Systems

• Semantic Modeling Targeting Smart Food Systems

• Semantic Web, Ontologies, Thesaurus, Metadata Schemas, and Triple Stores applied to Smart Food Systems

• Smart Food Data Platforms, Frameworks, and Architectures

• Smart Food System Requirements

• Smart Food Supply and Demand Conceptual Models

• Contextualized and Behavior Analytics-based Models for Agri-food Systems 

• The Interplay of Data and Sustainable Business Models for Smart Food Systems

• Semantic Models for Smart Food Recommender Systems

• Smart Food Systems Applications

Papers must be in one of the following types:

• Research paper (10-16 pages, excluding references): Long paper, describing a full-fledged research work, including motivation, state-of-the-art discussion, proposal, validation, and analysis of related works.

• Research Preview paper (6 pages, excluding references): Short paper, specifying a problem related to any of the workshop topics, and a roadmap towards addressing it.

• Position paper (6 pages, excluding references): Short paper, stating the position of the author(s) on any of the workshop topics.

Papers proposals must be submitted via the official ER submission page on Easychair to the track “Workshop on Controlled Vocabularies and Data platforms for Smart Food Systems”.

Each paper admitted to the review process will be reviewed by at least two committee members in a double-blind process, with a meta-review provided by a program board member.

Research papers will be assessed for the extent of contribution, grounding in the literature, novelty, presentation quality, relevance, and technical rigor. Industry reports should demonstrate the impact of conceptual modeling in a real-world setting, arguing for the generalizability of methods and lessons learned. Vision papers should describe an ambitious and credible future state of conceptual modeling, articulating the need, research plan, and potential impact of the vision.

Paper preparation and publication

By decision of the ER2023 Organizing Committee, all Workshop accepted papers will be published by Springer in the LNCS series. Authors must submit manuscripts using the LNCS style (see style files and details). Springer has provided a LaTeX template in Overleaf for your convenience.  

Presentations

At least one author of each accepted paper must register at the ER2023 main conference to present the work on-site in Lisbon as of 11 September 2023. In case of traveling restrictions, an exception may be made to allow registered authors to present the work remotely.