Daniel Ayala

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Lecturer and Researcher
F1.81




I’m a researcher at the University of Seville. My research so far has focused on techniques related to structured data integration and mining, lately in the field of knowledge graphs. This includes, for example, labelling elements in structured information with a class, finding equivalence between properties, or testing graph embedding techniques.


Research Projects

Semantización y Publicación de datos Abiertos para la Integración de Servicios Electrónicos

Herramientas para la Ciencia de los Datos de la Web

MARTITA: Ingeniería de Datos Aplicada a la Extracción, Semantización, Refinamiento y Explotación de Grafos de Conocimiento a Escala Web

Ingeniería de los Datos Como Soporte a los Grafos de Conocimiento


Research Contracts

01/09/2015 – 14/04/2017: Researcher contract

14/06/2017 – 07/10/2020: FPU predoc grant

23/10/2020 – Present: Interim Professor and researcher contract



19 entries « 1 of 4 »

2024

Sola, Fernando; Ayala, Daniel; Pulido, Marina; Ayala, Rafael; López-Cerero, Lorena; Hernández, Inma; Ruiz, David

ginmappeR: an unified approach for integrating gene and protein identifiers across biological sequence databases Journal Article

In: Bioinformatics Advances, vol. 4, no. 1, pp. vbae129, 2024, ISSN: 2635-0041.

Links | BibTeX

Bermudo, Miguel; Ayala, Daniel; Hernández, Inma; Ruiz, David; Toro, Miguel

SpaceRL-KG: Searching paths automatically combining embedding-based rewards with Reinforcement Learning in Knowledge Graphs Journal Article

In: Expert Systems With Applications, vol. 255, pp. 124410, 2024, ISSN: 0957-4174.

Links | BibTeX

2023

Ayala, Daniel; Ayala, Rafael; Vidal, Lara Sellés; Hernández, Inma; Ruiz, David

Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance Journal Article

In: IEEE Access, vol. 11, pp. 26593-26610, 2023, ISSN: 2169-3536.

Links | BibTeX

Ayala, Rafael; Ayala, Daniel; Vidal, Lara Sellés; Ruiz, David

asteRisk - Integration and Analysis of Satellite Positional Data in R. Journal Article

In: R Journal, vol. 15, no. 1, pp. 34-54, 2023, ISSN: 2073-4859.

Links | BibTeX

Sola, Fernando; Ayala, Daniel; Ayala, Rafael; Hernández, Inma; Rivero, Carlos R; Ruiz, David

AYNEXT-tools for streamlining the evaluation of link prediction techniques Journal Article

In: SoftwareX, vol. 23, pp. 101474, 2023, ISSN: 2352-7110.

Links | BibTeX

Sola, Fernando; Ayala, Daniel; Hernández, Inma; Ruiz, David

Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions Journal Article

In: Applied Intelligence, vol. 53, no. 19, pp. 22415–22428, 2023, ISSN: 1573-7497.

Links | BibTeX

19 entries « 1 of 4 »