Ariam Rivas

According to our database, Ariam Rivas authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A neuro-symbolic system over knowledge graphs for link prediction.

Ariam Rivas, Diego Collarana, Maria Torrente, Maria-Esther Vidal

Semantic Web, 2024

2023

Computational and human-based methods for knowledge discovery over knowledge graphs.

Ariam Rivas

PhD thesis, 2023

Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments' toxicities.

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

J. Web Semant., 2023

Knowledge graphs for enhancing transparency in health data ecosystems.

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

Semantic Web, 2023

SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning.

Disha Purohit, Yashrajsinh Chudasama, Ariam Rivas, Maria-Esther Vidal

Proceedings of the 12th Knowledge Capture Conference 2023, 2023

Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's Impact.

Shahi Dost, Ariam Rivas, Hanan Begali, Annett Ziegler, Elimira Aliabadi, Markus Cornberg, Anke Rm Kraft, Maria-Esther Vidal

Proceedings of the 12th Knowledge Capture Conference 2023, 2023

2022

Knowledge4COVID-19: A Semantic-based Approach for Constructing a COVID-19 related Knowledge Graph from Various Sources and Analysing Treatments' Toxicities.

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

CoRR, 2022

2021

Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph Embeddings.

Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal

J. Data Intell., 2021

Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness.

Ariam Rivas, Maria-Esther Vidal

Proceedings of the K-CAP '21: Knowledge Capture Conference, 2021

2020

Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019.

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

CoRR, 2020

Unveiling Relations in the Industry 4.0 Standards Landscape Based on Knowledge Graph Embeddings.

Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal

Proceedings of the Database and Expert Systems Applications, 2020

2019

Transforming Heterogeneous Data into Knowledge for Personalized Treatments - A Use Case.

Maria-Esther Vidal, Kemele M. Endris, Samaneh Jazashoori, Ahmad Sakor, Ariam Rivas

Datenbank-Spektrum, 2019

2018

Aplicación de Métodos de Aprendizaje Automático en un Sistema basado en Ontología (Application of Machine Learning Methods in a System Based on Ontology).

María Isabel Castellanos, Ariam Rivas, Emilio Lucas

Proceedings of the 3rd International Workshop on Semantic Web 2018 co-located with 15th International Congress on Information (INFO 2018), 2018

Multi-granulation Strategy via Feature Subset Extraction by Using a Genetic Algorithm and a Rough Sets-Based Measure of Dependence.

Ariam Rivas, Ricardo Navarro, Chyon Hae Kim, Rafael Bello

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018