David Ruiz

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Full Professor
F1.46




David Ruiz is Full Professor at the University of Seville. He is the leader at the Data Engineering Applications Lab at the University of Seville, focusing his research on Data Engineering, Knowledge Graphs, and Data Integration.

Research topics
Semantic Web, Web of Data, Semantic Web Services, Data Integration, Knowledge Graphs

Publications

69 entries « 3 of 12 »

2022

Ayala, Daniel; Hernández, Inma; Ruiz, David; Rahm, Erhard

Multi-source dataset of e-commerce products with attributes for property matching Journal Article

In: Data in Brief, vol. 41, pp. 107884, 2022, ISSN: 2352-3409.

Links | BibTeX

2021

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

openSkies-Integration of Aviation Data into the R Ecosystem. Journal Article

In: R Journal, vol. 13, no. 2, pp. 485, 2021, ISSN: 2073-4859.

Links | BibTeX

Ayala, Daniel; Hernández, Inma; Ruiz, David; Rahm, Erhard

Towards the smart use of embedding and instance features for property matching Proceedings Article

In: 2021 IEEE 37th International Conference on Data Engineering (ICDE), pp. 2111–2116, IEEE 2021, ISSN: 2375-026X.

Links | BibTeX

Borrego, Agustín; Ayala, Daniel; Hernández, Inma; Rivero, Carlos R; Ruiz, David

CAFE: Knowledge graph completion using neighborhood-aware features Journal Article

In: Engineering Applications of Artificial Intelligence, vol. 103, pp. 104302, 2021, ISSN: 0952-1976.

Links | BibTeX

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

Silence: un framework de apoyo a la docencia de desarrollo web Proceedings Article

In: Actas de las XXVII Jornadas sobre la Enseñanza Universitaria de la Informática, València, 7-8 de julio de 2021, pp. 235-242, Asociación de Enseñantes Universitarios de la Informática (AENUI), 2021, ISSN: 2531-0607.

Links | BibTeX

2020

Ayala, Daniel; Borrego, Agustín; Hernández, Inma; Ruiz, David

A neural network for semantic labelling of structured information Journal Article

In: Expert Systems with Applications, vol. 143, pp. 113053, 2020, ISSN: 0957-4174.

Links | BibTeX

69 entries « 3 of 12 »