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Listar por autor "Ayala Hernández, Daniel"
Mostrando ítems 1-20 de 22
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Artículo
A neural network for semantic labelling of structured information
Ayala Hernández, Daniel; Borrego Díaz, Agustín; Hernández Salmerón, Inmaculada Concepción; Ruiz Cortés, David (Elsevier, 2020-04-01)Intelligent systems rely on rich sources of information to make informed decisions. Using information from external sources ...
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Artículo
An approach for discovering keywords from Spanish tweets using Wikipedia
Ayala Hernández, Daniel; Roldán Salvador, Juan Carlos; Ruiz Cortés, David; Ortega Gallego, Fernando (Universidad de Salamanca, 2015)Most approaches to keywords discovery when analyzing microblogging messages (among them those from Twitter) are based on ...
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Ponencia
AYNEC-DataGen: a tool for generating evaluation datasets for Knowledge Graphs completion
Ayala Hernández, Daniel; Borrego Díaz, Agustín; Hernández Salmerón, Inmaculada Concepción; Rivero, Carlos R.; Ruiz Cortés, David (SISTEDES: Ingeniería de Software y las Tecnologías de Desarrollo de Software, 2019)In the context of knowledge graphs, the task of completion of relations consists in adding missing triples to a knowledge ...
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Ponencia
AYNEC: All you need for evaluating completion techniques in knowledge graphs
Ayala Hernández, Daniel; Borrego Díaz, Agustín; Hernández Salmerón, Inmaculada Concepción; Rivero, Carlos R.; Ruiz Cortés, David (Springer, 2019-05-25)The popularity of knowledge graphs has led to the development of techniques to refine them and increase their quality. One ...
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Artículo
CAFE: Fact Checking in Knowledge Graphs using Neighborhood-Aware Features
Borrego Díaz, Agustín; Ayala Hernández, Daniel; Hernández Salmerón, Inmaculada Concepción; Rivero, Carlos R.; Ruiz Cortés, David (IOS Press, 2020)Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. Because ...
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Artículo
CAFE: Knowledge graph completion using neighborhood-aware features
Borrego Díaz, Agustín; Ayala Hernández, Daniel; Hernández Salmerón, Inmaculada Concepción; Rivero, Carlos R.; Ruiz Cortés, David (Elsevier, 2021)Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. ...
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Trabajo Fin de Máster
Deep embeddings and Graph Neural Networks: can context improve domain-independent predictions?
Sola Espinosa, Fernando Luis (2022)Graph neural networks (GNNs) are deep learning architectures that apply graph convolutions through message-passing processes ...
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Artículo
Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions
Sola Espinosa, Fernando Luis; Ayala Hernández, Daniel; Hernández Salmerón, Inmaculada Concepción; Ruiz Cortés, David (SprigerLink, 2023-06-28)Graph neural networks (GNNs) are deep learning architectures that apply graph convolutions through message-passing processes ...
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Ponencia
Generating Rules to Filter Candidate Triples for their Correctness Checking by Knowledge Graph Completion Techniques
Borrego Díaz, Agustín; Ayala Hernández, Daniel; Hernández Salmerón, Inmaculada Concepción; Rivero, Carlos R.; Ruiz Cortés, David (ACM Digital Library, 2019)Knowledge Graphs (KGs) contain large amounts of structured information. Due to their inherent incompleteness, a process ...
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Artículo
LEAPME: learning-based property matching with embeddings
Ayala Hernández, Daniel; Hernández Salmerón, Inmaculada Concepción; Ruiz Cortés, David; Rahm, Erhard (Elsevier, 2022)Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities ...
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Artículo
LEAPME: Learning-based Property Matching with Embeddings
Ayala Hernández, Daniel; Hernández Salmerón, Inmaculada Concepción; Ruiz Cortés, David; Rahm, Erhard (Cornell University, 2020)Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities ...
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Trabajo Fin de Grado
Machine Learning aplicado a la propagación de alta precisión de trayectorias de satélites
Calderón Valdivia, José (2023)La predicción precisa de las posiciones de los satélites es fundamental para una amplia gama de aplicaciones, que van desde ...
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Artículo
Multi-source dataset of e-commerce products with attributes for property matching
Ayala Hernández, Daniel; Hernández Salmerón, Inmaculada Concepción; Ruiz Cortés, David; Rahm, Erhard (Elsevier, 2022)Schema/ontology matching consists in finding matches between types, properties and entities in heterogeneous sources of ...
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Artículo
Multi-source dataset of e-commerce products with attributes for property matching (Correction)
Ayala Hernández, Daniel; Hernández Salmerón, Inmaculada Concepción; Ruiz Cortés, David; Rahm, Erhard (Elsevier, 2022) -
Artículo
Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance
Ayala Hernández, Daniel; Ayala, Rafael; Sellés Vidal, Lara; Hernández Salmerón, Inmaculada Concepción (IEEE, 2023-03-10)The increase in air traffic in the recent years has motivated the development of technologies to monitor air space and ...
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Tesis Doctoral
On Data Engineering and Knowledge Graphs - A holistic, smarter approach to data enrichment
Ayala Hernández, Daniel (2020-10-22)The recent years have seen an increased interest in the development of large, structured data sources that allow the ...
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Ponencia
On Verifying Information Extractors
Ayala Hernández, Daniel (Springer, 2016) -
Artículo
openSkies - Integration of Aviation Data into the R Ecosystem
Ayala, Rafael; Ayala Hernández, Daniel; Sellés Vidal, Lara; Ruiz Cortés, David (The R Foundation, 2021)Aviation data has become increasingly more accessible to the public thanks to the adoption of technologies such as Automatic ...
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Ponencia
Silence: un framework de apoyo a la docencia de desarrollo web
Borrego Díaz, Agustín; Ayala Hernández, Daniel; Sola Espinosa, Fernando Luis; Hernández Salmerón, Inmaculada Concepción; Ruiz Cortés, David (Asociación de Enseñantes Universitarios de la Informática, 2021)La programación web es, actualmente, una de las vertientes más importantes de la informática en la industria nacional e ...
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Artículo
TAPON-MT: a versatile framework for semantic labelling
Ayala Hernández, Daniel; Hernández Salmerón, Inmaculada Concepción; Ruiz Cortés, David; Toro Bonilla, Miguel (Elsevier, 2019-07)Semantic labelling refers to the problem of assigning known labels to the elements of structured information from a source ...