2026-06-02T21:41:23Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/239472026-02-03T11:21:09Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Benítez-Hidalgo, Antonio
author
Barba-González, Cristóbal
author
Gutiérrez-Moncayo, Pedro
author
Paneque, Manuel
author
Nebro-Urbaneja, Antonio Jesús
author
Roldán-García, María del Mar
author
Aldana-Montes, José Francisco
author
Navas-Delgado, Ismael
2022-04-20T06:42:17Z
2022-04-20T06:42:17Z
2021-11-28
Benítez-Hidalgo, Antonio ; Barba-González, Cristóbal ; Gutiérrez-Moncayo, Pedro ; Paneque, Manuel ; Nebro-Urbaneja, Antonio Jesus ; Roldan-Garcia, Maria del Mar ; Aldana-Montes, Jose Francisco ; Navas-Delgado, Ismael. TITAN: A knowledge-based platform for Big Data workflow management. Knowledge-Based Systems Volume 232, 28 November 2021, 107489. https://doi.org/10.1016/j.knosys.2021.107489
https://hdl.handle.net/10630/23947
10.1016/j.knosys.2021.107489
Modern applications of Big Data are transcending from being scalable solutions of data processing and analysis, to now provide advanced functionalities with the ability to exploit and understand the underpinning knowledge. This change is promoting the development of tools in the intersection of data processing, data analysis, knowledge extraction and management. In this paper, we propose TITAN, a software platform for managing all the life cycle of science workflows from deployment to execution in the context of Big Data applications. This platform is characterised by a design and operation mode driven by semantics at different levels: data sources, problem domain and workflow components. The proposed platform is developed upon an ontological framework of meta-data consistently managing processes and models and taking advantage of domain knowledge. TITAN comprises a well-grounded stack of Big Data technologies including Apache Kafka for inter-component communication, Apache Avro for data serialisation and Apache Spark for data analytics. A series of use cases are conducted for validation, which comprises workflow composition and semantic meta-data management in academic and real-world fields of human activity recognition and land use monitoring from satellite images.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Datos masivos
TITAN: A knowledge-based platform for Big Data workflow management
journal article
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