Lucía Gómez Álvarez
From International Center for Computational Logic
Dr. Lucía Gómez Álvarez
Research Associate Computational Logic
- lucia.gomez_alvarez@tu-dresden.de
- APB 2033
Since April 2020, I am a postdoctoral research assistant at the Computational Logic Group at the Technische Universität Dresden.
My research interests are in the area of Knowledge Representation and Reasoning. I am particularly (but not exclusively) interested in the representation of concepts and of semantically variable languages, and I look at theoretical issues (linguistic and philosophical), at representational frameworks (mostly logic-based) and at applications.
Before joining the TU Dresden I was awarded the degree of PhD in Computer Science in February 2020 at the University of Leeds, where I was working under the supervision of Brandon Bennett.
Newest Publications
Lucía Gómez Álvarez, Sebastian Rudolph, Hannes Straß
How to Agree to Disagree: Managing Ontological Perspectives using Standpoint Logic
In Ulrike Sattler, Aidan Hogan, Maria Keet, Valentina Presutti, João Paulo A. Almeida, Hideaki Takeda, Pierre Monnin, Giuseppe Pirrò, Claudia d'Amato, eds., Proceedings of the 21st International Semantic Web Conference (ISWC), LNCS, to appear. Springer
Details Download
Lucía Gómez Álvarez, Sebastian Rudolph, Hannes Straß
Modelling Multiple Perspectives by Standpoint-Enhanced Description Logics (Extended Abstract)
In Ofer Arieli, Martin Homola, Jean Christoph Jung, Marie-Laure Mugnier, eds., Proceedings of the 35th International Workshop on Description Logics (DL 2022), to appear
Details Download
Tim Lyon, Lucía Gómez Álvarez
Automating Reasoning with Standpoint Logic via Nested Sequents.
Proceedings of the 19th International Conference on the Principles of Knowledge Representation and Reasoning (KR'22), to appear
Details Download
Suk Joon Hong, Brandon Bennett, Judith Clymo, Lucía Gómez Álvarez
KARaML: Integrating Knowledge-Based and Machine Learning Approaches to Solve the Winograd Schema Challenge
Machine Learning and Knowledge Engineering for Hybrid Intelligence, AAAI Spring Symposium, to appear. AAAI Press
Details
Lucía Gómez Álvarez, Sebastian Rudolph
Standpoint Logic: Multi-Perspective Knowledge Representation
In Neuhaus F, Brodaric B, eds., Proceedings of the 12th International Conference (FOIS 2021) Frontiers in Artificial Intelligence and Applications, volume 3344 of Frontiers in Artificial Intelligence and Applications, 3 - 17, 2021. IOS Press
Details
Adam Richard-Bollans, Lucía Gómez Álvarez, Anthony Cohn
Modelling the Polysemy of Spatial Prepositions in Referring Expressions
In Diego Calvanese, Esra Erdem, Michael Thielscher, eds., Proceedings of the 17th International Conference on the Principles of Knowledge Representation and Reasoning (KR'20), 2020
Details Download
Adam Richard-Bollans, Anthony Cohn, Lucía Gómez Álvarez
Categorisation, Typicality & Object-Specific Features in Spatial Referring Expressions
Proceedings of the Third International Workshop on Spatial Language Understanding, 39-49, November 2020. Association for Computational Linguistics
Details
Adam Richard-Bollans, Lucía Gómez Álvarez, Brandon Bennett, Anthony Cohn
Investigating the Dimensions of Spatial Language
In K Stock, CB Jones, T Tenbrink, eds., Proceedings of Speaking of Location 2019: Conference on Spatial Information Theory (COSIT 2019), 47-56, September 2019. Regensburg, Germany.
Details
Lucía Gómez Álvarez, Brandon Bennett
Dealing with Conceptual Indeterminacy: A Framework based on Supervaluation Semantics
Joint Proceedings of MedRACER and WOMoCoE 2018. 3rd International Workshop on Ontology Modularity, Contextuality, and Evolution (WOMoCoE 2018), 38-50, Arizona, USA, 2018. CEUR-WS
Details
Lucía Gómez Álvarez
Ambiguity: What is it that needs representing and what needs resolving?
ARR workshop of ESSLLI 2018, Sofia, Bulgaria, 2018
Details
Courses
- Advanced Problem Solving and Search (WS 2022)
- Advanced Problem Solving and Search (SS 2022)
- Advanced Problem Solving and Search (WS 2021)
- Advanced Problem Solving and Search (SS 2021)
- Problem Solving and Search in Artificial Intelligence (WS 2020)
show further courses
ScaDS.AI
Center for Scalable Data Analytics and Artificial Intelligence
