Demos

Sefarad 3.0

Sefarad 3.0
  • K2_EXTRAFIELD_AUTORES_DEMOS Enrique Conde
  • K2_EXTRAFIELD_DESC_DEMOS Sefarad 3.0 is a visualization tool for Big Data and semantic data sources, made with ElasticSearch and W3C web components.

Football-Mood

Football-Mood
  • K2_EXTRAFIELD_AUTORES_DEMOS Alberto Pascual Saaevedra
  • K2_EXTRAFIELD_DESC_DEMOS This demo shows an application of Sefarad (Visualisation Framework) and Senpy ( Sentiment and Emotion Analysis) through the analysis of Tweets of a football match.

Financial Twitter Tracker

Financial Twitter Tracker
  • K2_EXTRAFIELD_AUTORES_DEMOS J. Fernando Sánchez-Rada, Marcos Torres, Miguel Coronado, Álvaro Carrera
  • K2_EXTRAFIELD_DESC_DEMOS Tweets sentiment visualization tool on different listed companies with the aim of studying the correlation between this sentiment and the stock market movement. Demo: Demo

Sefarad

Sefarad
  • K2_EXTRAFIELD_AUTORES_DEMOS Roberto Bermejo, Rubén Díaz Vega, Marcos Torres, Miguel Coronado, Álvaro Carrera
  • K2_EXTRAFIELD_DESC_DEMOS Sefarad is an HTML5 Framework developed to analyze data by making SPARQL queries to the backend of your choice. In this demo, queries are made to DBpedia about European universities, with some widgets that allow you to filter the results and display them on a map.

Job Matching

Job Matching

SmartOpenData visualization tool

SmartOpenData visualization tool
  • K2_EXTRAFIELD_AUTORES_DEMOS Rubén Díaz, Alejandro Saura, Geovanny Poveda
  • K2_EXTRAFIELD_DESC_DEMOS Tool that facilitates the visualization of geospatial data in the SmartOpenData project.

Eurosentiment Marl Generator

Eurosentiment Marl Generator

Emotion Detection with Onyx

Emotion Detection with Onyx
  • K2_EXTRAFIELD_AUTORES_DEMOS J. Fernando Sánchez-Rada, Marcos Torres
  • K2_EXTRAFIELD_DESC_DEMOS Tool that facilitates the analysis of emotions and their modeling with the onyx vocabulary.

Bot GSI

Bot GSI
  • K2_EXTRAFIELD_AUTORES_DEMOS Javier Herrera
  • K2_EXTRAFIELD_DESC_DEMOS Bot that combines technology from Bots (ChatScript), Agents (Jason), semantic indexing (Scrappy and Siren).

Wool

Wool
  • K2_EXTRAFIELD_AUTORES_DEMOS Óscar Araque Iborra
  • K2_EXTRAFIELD_DESC_DEMOS Tweets sentiment visualization tool on different listed companies with the aim of studying the correlation between this sentiment and the stock market movement.

SEAS

SEAS
  • K2_EXTRAFIELD_AUTORES_DEMOS David Moreno Briz
  • K2_EXTRAFIELD_DESC_DEMOS SEAS is a set of services for the analysis of feelings and emotions according to the NIF API. The NLP exchange format (NIF) is a format based on RDF and OWL. The analysis of feelings is generated using the Marl semantic technology; While the analysis of emotions uses Onyx.