II Workshop on Conceptual Modeling, Semantic Technologies and Data platforms for Smart Food Systems (SmartFood 2024)

About the workshop

The II Workshop on Conceptual Modeling, Semantic Technologies and Data platforms for Smart Food Systems (SmartFood 2024) is part of the 43rd International Conference on Conceptual Modeling (ER2024).

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.

Conceptual Modeling is essential to develop smart food systems, by providing a solid basis to support the integration and interoperability of all these kinds of technologies. In particular, semantic technologies are applied in different domains of agriculture and smart food systems, playing an important role in data interoperability, sharing, and reuse [6]. This technologies include ontologies (i.e., shared semantically well-founded conceptualizations of given domains of discourse) and controlled vocabularies (i.e., systematic arrangements of concepts developed to cover the date description needs of a particular community). By using such technologies to build smart food data platforms, it is possible to support reuse and allow such platforms to make more accurate data analysis. 

Access the previous edition of the workshop: SmartFood 2023.  

 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

• Conceptual and Semantic Modeling for Smart Food Recommender Systems

• Industrial/Farm Applications of Smart Food Semantic/Data Technologies

• Research paper page limit is 16 pages (excluding one page references). Papers will be judged on contribution, literature basis, novelty, clarity, relevance, and rigor. The review process is double-blind. Submissions must be anonymized.

Papers proposals must be submitted via the official ER submission page on Easychair to the track “SmartFood Workshop Papers”.

Paper preparation and publication

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 ER2024 main conference to present the work on-site in Pittsburgh, Pennsylvania, as of 28 October 2024.