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Books and Theses
- 2023
[b1]Ariam Rivas:
Computational and human-based methods for knowledge discovery over knowledge graphs. Hannover University, Germany, 2023
Journal Articles
- 2024
- [j5]Ariam Rivas, Diego Collarana, Maria Torrente, Maria-Esther Vidal:
A neuro-symbolic system over knowledge graphs for link prediction. Semantic Web 15(4): 1307-1331 (2024) - 2023
- [j4]Fotis Aisopos, Samaneh Jozashoori, Emetis Niazmand, Disha Purohit, Ariam Rivas, Ahmad Sakor, Enrique Iglesias, Dimitrios Vogiatzis, Ernestina Menasalvas, Alejandro Rodríguez González, Guillermo Vigueras, Daniel Gómez-Bravo, Maria Torrente, Roberto Hernández López, Mariano Provencio Pulla, Athanasios Dalianis, Anna Triantafillou, Georgios Paliouras, Maria-Esther Vidal:
Knowledge graphs for enhancing transparency in health data ecosystems. Semantic Web 14(5): 943-976 (2023) - [j3]Ahmad Sakor, Samaneh Jozashoori, Emetis Niazmand, Ariam Rivas, Konstantinos Bougiatiotis, Fotis Aisopos
, Enrique Iglesias, Philipp D. Rohde, Trupti Padiya, Anastasia Krithara, Georgios Paliouras, Maria-Esther Vidal:
Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments' toxicities. J. Web Semant. 75: 100760 (2023) - 2021
- [j2]Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal:
Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph Embeddings. J. Data Intell. 2(3): 326-347 (2021) - 2019
- [j1]Maria-Esther Vidal, Kemele M. Endris, Samaneh Jazashoori, Ahmad Sakor, Ariam Rivas:
Transforming Heterogeneous Data into Knowledge for Personalized Treatments - A Use Case. Datenbank-Spektrum 19(2): 95-106 (2019)
Conference and Workshop Papers
- 2023
- [c6]Disha Purohit, Yashrajsinh Chudasama, Ariam Rivas, Maria-Esther Vidal:
SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning. K-CAP 2023: 44-52 - [c5]Shahi Dost, Ariam Rivas, Hanan Begali, Annett Ziegler, Elimira Aliabadi, Markus Cornberg, Anke Rm Kraft, Maria-Esther Vidal:
Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's Impact. K-CAP 2023: 241-249 - 2021
- [c4]Ariam Rivas, Maria-Esther Vidal:
Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness. K-CAP 2021: 33-40 - 2020
- [c3]Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal:
Unveiling Relations in the Industry 4.0 Standards Landscape Based on Knowledge Graph Embeddings. DEXA (2) 2020: 179-194 - 2018
- [c2]Ariam Rivas, Ricardo Navarro, Chyon Hae Kim, Rafael Bello:
Multi-granulation Strategy via Feature Subset Extraction by Using a Genetic Algorithm and a Rough Sets-Based Measure of Dependence. CIARP 2018: 203-211 - [c1]María Isabel Castellanos, Ariam Rivas, Emilio Lucas:
Aplicación de Métodos de Aprendizaje Automático en un Sistema basado en Ontología (Application of Machine Learning Methods in a System Based on Ontology). IWSW 2018: 86-97
Informal and Other Publications
- 2022
- [i3]Ahmad Sakor, Samaneh Jozashoori, Emetis Niazmand, Ariam Rivas, Konstantinos Bougiatiotis, Fotis Aisopos, Enrique Iglesias, Philipp D. Rohde, Trupti Padiya, Anastasia Krithara, Georgios Paliouras, Maria-Esther Vidal:
Knowledge4COVID-19: A Semantic-based Approach for Constructing a COVID-19 related Knowledge Graph from Various Sources and Analysing Treatments' Toxicities. CoRR abs/2206.07375 (2022) - 2020
- [i2]Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal:
Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings. CoRR abs/2006.04556 (2020) - [i1]Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda C. M. Amaral, Claudia d'Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, Ling Cai, Riley Capshaw, Valentina Anita Carriero, Irene Celino, Amine Dadoun, Stefano De Giorgis, Harm Delva, John Domingue, Michel Dumontier, Vincent Emonet, Marieke van Erp, Paola Espinoza-Arias, Omaima Fallatah, Sebastián Ferrada, Marc Gallofré Ocaña, Michalis Georgiou, Genet Asefa Gesese, Frances Gillis-Webber, Francesca Giovannetti, María Granados Buey, Ismail Harrando, Ivan Heibi, Vitor A. C. Horta, Laurine Huber, Federico Igne, Mohamad Yaser Jaradeh, Neha Keshan, Aneta Koleva, Bilal Koteich, Kabul Kurniawan, Mengya Liu, Chuangtao Ma, Lientje Maas, Martin Mansfield, Fabio Mariani, Eleonora Marzi, Sepideh Mesbah, Maheshkumar Mistry, Alba Catalina Morales Tirado, Anna Nguyen, Viet Bach Nguyen, Allard Oelen, Valentina Pasqual, Heiko Paulheim, Axel Polleres, Margherita Porena, Jan Portisch, Valentina Presutti, Kader Pustu-Iren, Ariam Rivas Mendez, Soheil Roshankish, Sebastian Rudolph, Harald Sack, Ahmad Sakor, Jaime Salas, Thomas Schleider, Meilin Shi, Gianmarco Spinaci, Chang Sun, Tabea Tietz, Molka Tounsi Dhouib, Alessandro Umbrico, Wouter van den Berg, Weiqin Xu:
Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019. CoRR abs/2012.11936 (2020)
Coauthor Index
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