eXtream: a System for Real-time Monitoring of Dynamic Web Sources

TítuloeXtream: a System for Real-time Monitoring of Dynamic Web Sources
AutoresMarcos Fernández-Pichel, Rodrigo Martínez-Castaño, David E. Losada and Juan C. Pichel
TipoComunicación para congreso
Fonte Joint Conference of the Information Retrieval Communities in Europe, Toulouse (France), CEUR Workshop Proceedings, pp. 1-2 , 2020.
AbstractIn this work, we introduce eXtream, a Big Data platform whose main goal is to deploy modular and customisable processing topologies for massive analysis of web data in real time. The system offers a reduced group of pre-installed modules that can be easily combined in a visual way. Additionally, an advanced user can upload new modules and extend an existing topology. This tool facilitates the development of many Information Retrieval and Big Data applications, such as query-based real-time filtering or topic analysis services on Social Media data. To demonstrate it, we have also developed an initial web-based demonstrator.
Palabras chaveBig Data, Real Time, Web Streams, Datasets