RT Conference Proceedings
T1 TITAN: A knowledge-based platform for Big Data workflow management
A1 Benítez-Hidalgo, Antonio
A1 Barba-González, Cristóbal
A1 García-Nieto, José Manuel
A1 Gutiérrez-Moncayo, Pedro
A1 Paneque, Manuel
A1 Nebro-Urbaneja, Antonio Jesús
A1 Roldán-García, María del Mar
A1 Aldana-Montes, José Francisco
A1 Navas-Delgado, Ismael
K1 Datos masivos
AB 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.
YR 2022
FD 2022
LK https://hdl.handle.net/10630/25071
UL https://hdl.handle.net/10630/25071
LA eng
NO Universidad de Málaga. Andalucía TECH.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026