Lucía Gómez Álvarez

Lucía Gómez Álvarez was a Researcher at the International Center for Computational Logic (ICCL) within the Faculty of Computer Science at Technische Universität Dresden. Her primary role was as a former Research Associate in the Computational Logic Research Group. She contributed to advancing multi-perspective reasoning frameworks and ontology engineering, focusing on integrating standpoint logics with description logics (e.g., SHIQ, EL). Her work bridges formal ontology, knowledge representation, and spatial semantics, addressing challenges in semantic variability and scalable ontology management.

Research Interests: Her research spans computational logic, multi-perspective reasoning systems, ontology engineering, and spatial semantics. Notable contributions include developing standpoint-enhanced logics for managing conflicting ontological perspectives and modeling polysemous spatial terms in natural language processing. She has also explored vagueness in predicates and objects, applying formal semantics to environmental and spatial domains.

Teaching: She taught Advanced Problem Solving and Search courses from 2021–2023, focusing on artificial intelligence problem-solving techniques.

Labs & Projects: Affiliated with the ScaDS.AI Center for Scalable Data Analytics and Artificial Intelligence, her work emphasizes practical applications of formal methods in AI systems. Collaborations include developing tools like Standpoint-OWL 2 for automated reasoning and KARaML for hybrid knowledge-machine learning systems.