Ariam Rivas

16 papers A 1B 3C 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
Integrating Knowledge Graphs and Neuro-Symbolic AI: LDM Enables FAIR and Federated Research Data Management.
WSDM
Ahmad Sakor, Mauricio Brunet, Enrique Iglesias, Ariam Rivas, Philipp D. Rohde, Angelina Kraft, Maria-Esther Vidal
2025 J jnl
SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations.
IEEE Access
Kossi Amouzouvi, Yashrajsinh Chudasama, Disha Purohit, Ariam Rivas, Bowen Song, Jens Lehmann, Sahar Vahdati, Maria-Esther Vidal
2024 J jnl
A neuro-symbolic system over knowledge graphs for link prediction.
Semantic Web
Ariam Rivas, Diego Collarana, Maria Torrente, Maria-Esther Vidal
2023 — —
Computational and human-based methods for knowledge discovery over knowledge graphs.
Ariam Rivas
2023 J jnl
Knowledge graphs for enhancing transparency in health data ecosystems.
Semantic Web
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
2023 J jnl
Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments' toxicities.
J. Web Semant.
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
2023 B conf
SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning.
K-CAP
Disha Purohit, Yashrajsinh Chudasama, Ariam Rivas, Maria-Esther Vidal
2023 B conf
Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's Impact.
K-CAP
Shahi Dost, Ariam Rivas, Hanan Begali, Annett Ziegler, Elimira Aliabadi, Markus Cornberg, Anke Rm Kraft, Maria-Esther Vidal
2022 J jnl
Knowledge4COVID-19: A Semantic-based Approach for Constructing a COVID-19 related Knowledge Graph from Various Sources and Analysing Treatments' Toxicities.
CoRR
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
2021 B conf
Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness.
K-CAP
Ariam Rivas, Maria-Esther Vidal
2021 J jnl
Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph Embeddings.
J. Data Intell.
Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal
2020 — conf
Unveiling Relations in the Industry 4.0 Standards Landscape Based on Knowledge Graph Embeddings.
DEXA (2)
Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal
2020 J jnl
Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings.
CoRR
Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal
2019 J jnl
Transforming Heterogeneous Data into Knowledge for Personalized Treatments - A Use Case.
Datenbank-Spektrum
Maria-Esther Vidal, Kemele M. Endris, Samaneh Jazashoori, Ahmad Sakor, Ariam Rivas
2018 — conf
Aplicación de Métodos de Aprendizaje Automático en un Sistema basado en Ontología (Application of Machine Learning Methods in a System Based on Ontology).
IWSW
María-Isabel Castellanos, Ariam Rivas, Emilio Lucas
2018 C conf
Multi-granulation Strategy via Feature Subset Extraction by Using a Genetic Algorithm and a Rough Sets-Based Measure of Dependence.
CIARP
Ariam Rivas, Ricardo Navarro, Chyon Hae Kim, Rafael Bello