This demo shows GSI-Crawler functionalities in the context of the project Trivalent. The system is aimed at crawling from a variety of data sources including news web sites such as CNN and New York Times, as well as social media platforms, like Twitter. The presented demo is the result of the ingest of the crawled online data and posterior analysis and semantic augmentation of said data. The resulting information is stored in both ElastiSearch and Fuseki databases, which allows the user to consult the data is a variety of forms, as showed.
For a quick overview of the funtionalities of the demo, please watch the following video:
To discover more, please consult the documentation at Read The Docs
H2020 RIA Action Grant No. 740934 under the call SEC-06-FCT-2016 — Developing a comprehensive approach to violent radicalization in the EU from early understanding to improving protection.
For a quick overview of the funtionalities of the demo, please watch the following video:
To discover more, please consult the documentation at Read The Docs
H2020 RIA Action Grant No. 740934 under the call SEC-06-FCT-2016 — Developing a comprehensive approach to violent radicalization in the EU from early understanding to improving protection.
© 2019 Grupo de Sistemas Inteligentes GSI-UPM