Ariam Rivas

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Acquire Knowledge

Application Of Machine Learning Methods

Supervised Learning

Semantically Rich

Top Venues

Datenbank-Spektrum

Publications

Disha Purohit, Yashrajsinh Chudasama, Ariam Rivas, Maria-Esther Vidal
SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning. K-CAP (2023)
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) (2023)
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)
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 (2023)
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 (2022)
Ariam Rivas, Maria-Esther Vidal
Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness. K-CAP (2021)
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) (2021)
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)
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 (2020)
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) (2019)
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)
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)