Search Results - "Prieto Martínez, A"

On the reproducibility of experiments of indexing repetitive document collections by Fariña, Antonio, Martínez-Prieto, Miguel A., Claude, Francisco, Navarro, Gonzalo, Lastra-Díaz, Juan J., Prezza, Nicola, Seco, Diego

“…This work introduces a companion reproducible paper with the aim of allowing the exact replication of the methods, experiments, and results discussed in a…”
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Characterising RDF data sets by Fernández, Javier D, Martínez-Prieto, Miguel A, de la Fuente Redondo, Pablo, Gutiérrez, Claudio

“…The publication of semantic web data, commonly represented in Resource Description Framework (RDF), has experienced outstanding growth over the last few years…”
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Linked Open Data technologies for publication of census microdata by PABON, Gustavo, GUTIERREZ, Claudio, FERNANDEZ, Javier D, MARTINEZ-PRIETO, Miguel A

“…Censuses are one of the most relevant types of statistical data, allowing analyses of the population in terms of demography, economy, sociology, and culture…”
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Sirius: A heuristic-based framework for measuring web usability adapted to the type of website by Torrente, M. Carmen Suárez, Prieto, A. Belén Martínez, Gutiérrez, Darío Alvarez, de Sagastegui, M. Elena Alva

“…► We propose Sirius, a new framework to measure web usability by experts, based on heuristic evaluation. ► Unlike most methods, this measure considers and…”
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Binary RDF representation for publication and exchange (HDT) by Fernández, Javier D., Martínez-Prieto, Miguel A., Gutiérrez, Claudio, Polleres, Axel, Arias, Mario

“…The current Web of Data is producing increasingly large RDF datasets. Massive publication efforts of RDF data driven by initiatives like the Linked Open Data…”
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Compressed vertical partitioning for efficient RDF management by Álvarez-García, Sandra, Brisaboa, Nieves, Fernández, Javier D., Martínez-Prieto, Miguel A., Navarro, Gonzalo

“…The Web of Data has been gaining momentum in recent years. This leads to increasingly publish more and more semi-structured datasets following, in many cases,…”
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A non-intrusive Industry 4.0 retrofitting approach for collaborative maintenance in traditional manufacturing by García, Álvaro, Bregon, Anibal, Martínez-Prieto, Miguel A.

“…[Display omitted] •Non-intrusive industrial retrofitted approach supporting collaborative maintenance.•Augmented human–machine behaviour models in traditional…”
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Generalized Biwords for Bitext Compression and Translation Spotting by Sánchez-Martínez, F., Carrasco, R. C., Martínez-Prieto, M. A., Adiego, J.

“…Large bilingual parallel texts (also known as bitexts) are usually stored in a compressed form, and previous work has shown that they can be more efficiently…”
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Enhancing literary electronic books with logical structure: electronic work by Martínez-Prieto, Miguel A, de la Fuente, Pablo, Vegas, Jesús M, Adiego, Joaquín, Cuesta, Carlos E

“…Purpose - This paper aims to present the concept of electronic work, such as an e-book integrator of concerns (logical structure, appearance and…”
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Multi-route aircraft trajectory prediction using Temporal Fusion Transformers by Silvestre, Jorge, Mielgo, Paula, Bregon, Anibal, Martinez-Prieto, Miguel A., Alvarez-Esteban, Pedro C.

“…Trajectory prediction plays a key role in modern air traffic management. The ability to predict the future position of aircraft in flight allows for greater…”
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Universal indexes for highly repetitive document collections by Claude, Francisco, Fariña, Antonio, Martínez-Prieto, Miguel A., Navarro, Gonzalo

“…Indexing highly repetitive collections has become a relevant problem with the emergence of large repositories of versioned documents, among other applications…”
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Practical compressed string dictionaries by Martínez-Prieto, Miguel A., Brisaboa, Nieves, Cánovas, Rodrigo, Claude, Francisco, Navarro, Gonzalo

“…The need to store and query a set of strings – a string dictionary – arises in many kinds of applications. While classically these string dictionaries have…”
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Compressed and queryable self-indexes for RDF archives by Cerdeira-Pena, Ana, de Bernardo, Guillermo, Fariña, Antonio, Fernández, Javier D., Martínez-Prieto, Miguel A.

“…RDF compression and querying are consolidated topics in the Web of Data, with a plethora of solutions to efficiently store and query static datasets. However,…”
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A deep learning-based approach for predicting in-flight estimated time of arrival by Silvestre, Jorge, Martínez-Prieto, Miguel A., Bregon, Anibal, Álvarez-Esteban, Pedro C.

“…Predictability is key for efficient and safe air traffic management. In particular, accurately estimating time of arrival for current passenger flights may…”
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cBiK: A Space-Efficient Data Structure for Spatial Keyword Queries by Sanjuan-Contreras, Carlos E., Retamal, Gilberto Gutierrez, Martinez-Prieto, Miguel A., Seco, Diego

“…A vast amount of geo-referenced data is being generated by mobile devices and other sensors increasing the importance of spatio-textual analyses on such data…”
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Towards a connected Digital Twin Learning Ecosystem in manufacturing: Enablers and challenges by García, Álvaro, Bregon, Anibal, Martínez-Prieto, Miguel A.

“…The evolution of digital twin, leveraged by the progressive physical–digital convergence, has provided smart manufacturing systems with knowledge-generation…”
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Natural Language Compression on Edge-Guided text preprocessing by Martínez-Prieto, Miguel A., Adiego, Joaquín, de la Fuente, Pablo

“…This paper presents Edge-Guided ( E-G), an optimized text preprocessing technique for compression purposes. It transforms the original text into a word net,…”
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RDF-TR: Exploiting structural redundancies to boost RDF compression by Hernández-Illera, Antonio, Martínez-Prieto, Miguel A., Fernández, Javier D.

“…The number and volume of semantic data have grown impressively over the last decade, promoting compression as an essential tool for RDF preservation, sharing…”
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Reproducible experiments with Learned Metric Index Framework by Slanináková, Terézia, Antol, Matej, Ol’ha, Jaroslav, Dohnal, Vlastislav, Ladra, Susana, Martínez-Prieto, Miguel A.

“…This work is a companion reproducible paper of a previous paper (Antol et al., 2021) in which we presented an alternative to the traditional paradigm of…”
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The Solid  architecture for real-time management of big semantic data by Martínez-Prieto, Miguel A., Cuesta, Carlos E., Arias, Mario, Fernández, Javier D.

“…Big Data management has become a critical task in many application systems, which usually rely on heavyweight batch processes to manage such large amounts of…”
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