Commit 70dd5953 authored by Alberto Pascual's avatar Alberto Pascual
Browse files

About tab added

parent 614537c5
Pipeline #406 passed with stages
in 40 seconds
......@@ -39,6 +39,7 @@
<paper-tabs selected="{{selected}}">
<paper-tab>Dashboard</paper-tab>
<paper-tab>Sparql Editor</paper-tab>
<paper-tab>About</paper-tab>
</paper-tabs>
<iron-pages selected="{{selected}}">
......@@ -202,10 +203,22 @@
</div>
<div>
<yasgui-ui
endpoint="http:///${FUSEKI_ENDPOINT_DASHBOARD}/gsicrawler/query"
endpoint="http:///${FUSEKI_ENDPOINT_EXTERNAL}/gsicrawler/query"
queries="{{queries}}"
</yasgui-ui>
</div>
<div>
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.
<br><br>
For a quick overview of the funtionalities of the demo, please watch the following video:
<br><br>
<br><br>
To discover more, please consult the documentation at <a href="http://gsicrawler.readthedocs.io" target="_blank">Read The Docs</a>
<br><br>
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.
<br><br>
</div>
</iron-pages>
<div style="background-color:#ccc; padding: 1%;">
<div style="width:32%; margin: 0 auto">
......
......@@ -39,6 +39,7 @@
<paper-tabs selected="{{selected}}">
<paper-tab>Dashboard</paper-tab>
<paper-tab>Sparql Editor</paper-tab>
<paper-tab>About</paper-tab>
</paper-tabs>
<iron-pages selected="{{selected}}">
......@@ -206,6 +207,19 @@
queries="{{queries}}"
</yasgui-ui>
</div>
<div>
<br>
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.
<br><br>
For a quick overview of the funtionalities of the demo, please watch the following video:
<br><br>
<br><br>
To discover more, please consult the documentation at <a href="http://gsicrawler.readthedocs.io" target="_blank">Read The Docs</a>
<br><br>
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.
<br><br>
</div>
</iron-pages>
<div style="background-color:#ccc; padding: 1%;">
<div style="width:32%; margin: 0 auto">
......
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