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ORCIDRita T. Sousa 0001
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- affiliation: University of Mannheim, Data and Web Science Group, Germany
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2020 – today
- 2025
[j8]Rita T. Sousa
, Heiko Paulheim:
Gene expression knowledge graph for patient representation and diabetes prediction. J. Biomed. Semant. 16(1): 2 (2025)- [j7]George Hannah, Rita T. Sousa, Ioannis Dasoulas, Claudia d'Amato:
On the legal implications of Large Language Model answers: A prompt engineering approach and a view beyond by exploiting Knowledge Graphs. J. Web Semant. 84: 100843 (2025) - [j6]Rita T. Sousa, Catia Pesquita, Heiko Paulheim:
Towards leveraging explicit negative statements in knowledge graph embeddings. J. Web Semant. 84: 100851 (2025) - [c15]Rita T. Sousa, Heiko Paulheim:
Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs. ESWC (1) 2025: 245-263 - [c14]Rita T. Sousa, Heiko Paulheim:
Improving Knowledge Graph Embeddings through Contrastive Learning with Negative Statements. K-CAP 2025: 18-25 - [c13]Hamid Ahmad, Heiko Paulheim, Rita T. Sousa:
Bio-KGvec2go: Serving up-to-date Dynamic Biomedical Knowledge Graph Embeddings. ISWC (Industry/Doctoral Consortium/Posters/Demos) 2025: 250-256 - [e1]Rita Torres de Sousa, Michel Dumontier, Dietrich Rebholz-Schuhmann, Ali Hasnain:
Proceedings of the 8th Workshop on Semantic Web solutions for large-scale biomedical data analytics co-located with The ESWC 2025: Extended Semantic Web Conference (ESWC 2025), Portorož, Slovenia, June 1, 2025. CEUR Workshop Proceedings 4001, CEUR-WS.org 2025 [contents] - [i9]Raia Abu Ahmad, Reham Alharbi, Roberto Barile, Martin Böckling, Francisco Bolanos, Sara Bonfitto, Oleksandra Bruns, Irene Celino, Yashrajsinh Chudasama, Martin Critelli, Claudia d'Amato, Giada D'Ippolito, Ioannis Dasoulas, Stefano De Giorgis, Vincenzo De Leo, Chiara Di Bonaventura, Marco Di Panfilo, Daniil Dobriy, John Domingue, Xuemin Duan, Michel Dumontier, Sefika Efeoglu, Ruben Eschauzier, Fakih Ginwa, Nicolas Ferranti, Arianna Graciotti, Philipp Hanisch, George Hannah, Golsa Heidari, Aidan Hogan, Hassan Hussein, Alexane Jouglar, Jan-Christoph Kalo, Manoé Kieffer, Antonis Klironomos, Inês Koch, Weronika Lajewska, Nicolas Lazzari, Mikael Lindekrans, Anna Sofia Lippolis, Majlinda Llugiqi, Eleonora Mancini, Eleonora Marzi, Laura Menotti, Daniela F. Milon-Flores, Soulakshmee D. Nagowah, Kerstin Neubert, Emetis Niazmand, Ebrahim Norouzi, Beatriz Olarte Martinez, Anouk Michelle Oudshoorn, Andrea Poltronieri, Valentina Presutti, Disha Purohit, Ensiyeh Raoufi, Célian Ringwald, Johanna Rockstroh, Sebastian Rudolph, Harald Sack, Zafar Saeed, Mohammad Javad Saeedizade, Aya Sahbi, Cristian Santini, Aleksandra Simic, Dennis Sommer, Rita T. Sousa, Mary Ann Tan, Vidyashree Tarikere, Tabea Tietz, Liam Tirpitz, Arnaldo Tomasino, Frank van Harmelen, Joao Vissoci, Caitlin Woods, Bohui Zhang, Xinyue Zhang, Heng Zheng:
Semantic Web and Creative AI - A Technical Report from ISWS 2023. CoRR abs/2501.18542 (2025) - [i8]Rita T. Sousa, Heiko Paulheim:
Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs. CoRR abs/2503.20400 (2025) - [i7]Hamid Ahmad, Heiko Paulheim, Rita T. Sousa:
Bio-KGvec2go: Serving up-to-date Dynamic Biomedical Knowledge Graph Embeddings. CoRR abs/2509.07905 (2025) - 2024
- [j5]Rita T. Sousa, Sara Silva, Catia Pesquita:
Explaining protein-protein interactions with knowledge graph-based semantic similarity. Comput. Biol. Medicine 170: 108076 (2024) - [c12]Rita T. Sousa, Heiko Paulheim:
Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes Prediction. SeWeBMeDA@ESWC 2024 - [i6]Rita T. Sousa, Heiko Paulheim:
Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes Prediction. CoRR abs/2404.14970 (2024) - [i5]George Hannah, Rita T. Sousa, Ioannis Dasoulas, Claudia d'Amato:
A Prompt Engineering Approach and a Knowledge Graph based Framework for Tackling Legal Implications of Large Language Model Answers. CoRR abs/2410.15064 (2024) - 2023
- [b1]Rita T. Sousa:
Semantic perspectives for learning over biomedical knowledge graphs. University of Lisbon, Portugal, 2023 - [j4]Rita T. Sousa, Sara Silva, Catia Pesquita:
Supervised Biomedical Semantic Similarity. IEEE Access 11: 60635-60645 (2023) - [j3]Susana Nunes, Rita T. Sousa, Catia Pesquita:
Multi-domain knowledge graph embeddings for gene-disease association prediction. J. Biomed. Semant. 14(1): 11 (2023) - [c11]Rita T. Sousa, Sara Silva, Catia Pesquita:
Benchmark Datasets for Biomedical Knowledge Graphs with Negative Statements. SeWeBMeDA@ESWC 2023 - [c10]Rita T. Sousa, Sara Silva, Catia Pesquita:
Explainable Representations for Relation Prediction in Knowledge Graphs. KR 2023: 635-646 - [c9]Rita T. Sousa, Sara Silva, Heiko Paulheim, Catia Pesquita:
Biomedical Knowledge Graph Embeddings with Negative Statements. ISWC 2023: 428-446 - [i4]Rita T. Sousa, Sara Silva, Catia Pesquita:
Explainable Representations for Relation Prediction in Knowledge Graphs. CoRR abs/2306.12687 (2023) - [i3]Rita T. Sousa, Sara Silva, Catia Pesquita:
Benchmark datasets for biomedical knowledge graphs with negative statements. CoRR abs/2307.11719 (2023) - [i2]Rita T. Sousa, Sara Silva, Heiko Paulheim, Catia Pesquita:
Biomedical Knowledge Graph Embeddings with Negative Statements. CoRR abs/2308.03447 (2023) - 2022
- [c8]Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Susana Nunes, Filipa Serrano, Rita T. Sousa, Catia Pesquita, Sara C. Madeira, Helena Aidos:
Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events. CLEF (Working Notes) 2022: 1211-1227 - [c7]Susana Nunes, Rita T. Sousa, Filipa Serrano, Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos, Catia Pesquita:
Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity. CLEF (Working Notes) 2022: 1256-1268 - [c6]Rita T. Sousa, Sara Silva, Catia Pesquita:
The Supervised Semantic Similarity Toolkit. ESWC (Satellite Events) 2022: 42-46 - [c5]Rita T. Sousa, Sara Silva, Catia Pesquita:
Towards Supervised Biomedical Semantic Similarity. SeWeBMeDA@ESWC 2022 - 2021
- [c4]Rita Torres de Sousa, Sara Silva, Catia Pesquita:
evoKGsim+: A Framework for Tailoring Knowledge Graph-Based Similarity for Supervised Learning. ESWC (Satellite Events) 2021: 141-146 - [c3]Rita T. Sousa, Sara Silva, Catia Pesquita:
Is there data leakage in protein-protein interaction prediction using knowledge graphs? ISWC (Posters/Demos/Industry) 2021 - [i1]Susana Nunes, Rita T. Sousa, Catia Pesquita:
Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies. CoRR abs/2105.04944 (2021) - 2020
- [j2]Carlota Cardoso, Rita T. Sousa, Sebastian Köhler, Catia Pesquita:
A Collection of Benchmark Data Sets for Knowledge Graph-based Similarity in the Biomedical Domain. Database J. Biol. Databases Curation 2020 (2020) - [j1]Rita T. Sousa, Sara Silva, Catia Pesquita:
Evolving knowledge graph similarity for supervised learning in complex biomedical domains. BMC Bioinform. 21(1): 6 (2020) - [c2]Carlota Cardoso, Rita T. Sousa, Sebastian Köhler, Catia Pesquita:
A Collection of Benchmark Data Sets for Knowledge Graph-Based Similarity in the Biomedical Domain. ESWC (Satellite Events) 2020: 50-55 - [c1]Rita T. Sousa:
Evolving Meaning for Supervised Learning in Complex Biomedical Domains Using Knowledge Graphs. ESWC (Satellite Events) 2020: 280-290
Coauthor Index
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