Meticos-Project / Events  / ICCS at the Thirteenth International Conference on Information, Intelligence, Systems and Applications (IISA 2022)

ICCS at the Thirteenth International Conference on Information, Intelligence, Systems and Applications (IISA 2022)

METICOS partner ICCS participated in the Thirteenth International Conference on Information, Intelligence, Systems and Applications (IISA 2022) that took place in Corfu, Greece, on the 18-20 of July 2022.

This conference is a forum for exchanging ideas among scientists and practitioners from different sectors – such as computers, mathematics, physics, biology, medicine, chemistry, experimental psychology, social sciences, linguistics, and engineering – aiming at developing methodologies and tools for the solution of complex problems in AI, biology, neuroscience, security, monitoring, surveillance, healthcare, sustainability in energy sources, governance, education, commerce, automation, robotics, optimization, image, speech and natural languages, and their integration.

In this vein, our colleague Georgia Gkioka from ICCS presented the Scientific article entitled “A Hybrid Data Model for the Assessment of Border Control Technologies ”.

Abstract: In recent years, the focus has been placed on the use and acceptance of these technologies, in order to understand the barriers to use and the acceptance problems people experience. Despite the growing interest in novel Smart Border Control (SBC) technologies and in the assessment of their usability and acceptance, there are currently no standardized ways to capture the data needed to assess their acceptance. Moreover, although there are a number of studies in the literature which propose data models to measure acceptance in different domains, to the best of our knowledge, there is no data model for the assessment of SBC technologies. Our paper provides a review concerning recent approaches in data and ontology modeling in addition to relevant to the border control domain data models and ontologies. Then the application of a hybrid approach is explained in detail both knowledge-based and data-driven, in order to derive the core entities, attributes, and relationships among them. Moreover, we propose a data model which aims to capture the data needed for the border control technologies assessment. Finally, the evaluation of the data model is performed by domain experts, and the results are presented and discussed.

Authors: Georgia Gkioka, Efthimios Bothos, Babis Magoutas, Gregoris Mentzas

IISA-2022 Proceedings will be published soon.