We provide an overview on the development and the integration in ENEAGRID of a web crawling tool to retrieve data from the Web, manage and display it, and extract relevant information. We collected all these instruments in a collaborative environment called Web Crawling Virtual Laboratory, offering a GUI to operate remotely. Finally, we describe an ongoing activity on semantic crawling and data analysis to discover trends and correlations in finance.

A web crawling environment to support financial strategies and trend correlation: – extended abstract –

Ponti G.;Santomauro G.;Ambrosino F.;Bracco G.;De Rosa M.;Funel A.;Giammattei D.;Guarnieri G.;Migliori S.
2019

Abstract

We provide an overview on the development and the integration in ENEAGRID of a web crawling tool to retrieve data from the Web, manage and display it, and extract relevant information. We collected all these instruments in a collaborative environment called Web Crawling Virtual Laboratory, offering a GUI to operate remotely. Finally, we describe an ongoing activity on semantic crawling and data analysis to discover trends and correlations in finance.
978-3-030-13462-4
978-3-030-13463-1
Big data; Machine learning; Market trends; Web crawling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12079/54465
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