27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE

Dr. María Poveda-Villalón is an associate professor at the Artificial Intelligence Department of the Universidad Politécnica de Madrid and is also part of the Ontology Engineering Group research lab. Her research activities focus on Ontological Engineering, Ontology Evaluation, Knowledge Representation and the Semantic Web. Previously she finished her studies in Computer Science (2009) by Universidad Politécnica de Madrid, and then she moved to study the Artificial Intelligence Research Master finished in 2010 in the same university. She has contributed to the ontology engineering field developing methodologies and tools like OOPS! (Ontology Pitfall Scanner!) which has been broadly adopted by the community, the LOT methodology for building ontologies and the Chowk framework for ontology conceptualization and implementation. She has worked in the context of Spanish research projects as well as in European. She has contributed to the organization of the "Linked Data in Architecture and Construction Workshop" since 2015 edition, the "13th OWL: Experiences and Directions Workshop and 5th OWL reasoner evaluation workshop" in 2016, the Workshop on Ontology Patterns (WOP) in 2019 and 2022, the "Linked Energy Data Vocamp" in 2015 and she has organized the 2nd Summer School of Linked Data in Architecture and Construction. Finally, she is part of the W3C Web of Things Working Group. Her teaching activities involve teaching semantic web and ontological engineering in different courses at official degrees, masters courses, MOOCs and online masters as well to deliver courses to the administration and private companies. She has carried out similar tutorials as “Catching up with ontological engineering. To git-commit and beyond” at EKAW2018 and “Integrating ontological development with software engineering trends” FDL2019.

Raúl García-Castro is Associate Professor in the Artificial Intelligence Department at Universidad Politécnica de Madrid (UPM). Having spent three years working as a software engineer, since he graduated in Computer Science in 2003 he has been working at UPM in the Ontology Engineering Group in more than twenty European and Spanish research projects, being Principal Investigator in six of them. His research focuses on ontological engineering, ontology-based application integration, and semantic interoperability. He has authored more than 150 publications and regularly participates in standardization and in the conferences and workshops that are most relevant in his field. He has a strong interest and expertise in ontological engineering, where he has contributed in topics such as ontological engineering methodologies (with the Linked Open Terms methodology), ontology testing (with the Themis suite), or ontology visualization (with the Chowlk notation). Furthermore, he has developed ontologies in many projects and in standardization bodies (W3C, ETSI). His teaching activities involve teaching semantic web and ontological engineering in differentcourses at official degrees, masters courses, MOOCs and online masters as well to deliver courses to the administration and private companies.

Sergio Mario Carulli-Pérez studied at the Universidad Politécnica de Madrid (UPM), where he graduated in Mathematics and Computer Science. Furthermore, not satisfied with his studies, he also obtained a master's degree in Data Science at the UPM. After finishing the master's degree, he started working as a researcher at the Ontology Engineering Group (OEG), which is a laboratory affiliated to the UPM where he has been working since 2022. His responsibilities include developing ontologies to support artificial intelligence integration and working as a full stack developer providing different services for the OEG. In the field of ontology development, he has developed an extension to the Smart Appliances REFerence (SAREF) ontology called SAREF4GRID (https://saref.etsi.org/saref4grid/), which is an extension for the electric grid domain. Moreover, in the full stack developer field, he has developed Chowlk (https://chowlk.linkeddata.es/), an application that allows to create the OWL implementation of an ontology from its conceptualisation.