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.
Titolo: | A web crawling environment to support financial strategies and trend correlation: – extended abstract – |
Autori: | |
Data di pubblicazione: | 2019 |
Serie: | |
Handle: | http://hdl.handle.net/20.500.12079/54465 |
ISBN: | 978-3-030-13462-4 978-3-030-13463-1 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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