@conference{sefarad-gsi-conference-2018,
author = "S{\'a}nchez-Rada, J. Fernando and Pascual-Saavedra, Alberto and Conde-S{\'a}nchez, Enrique and Iglesias, Carlos A.",
abstract = "Social media generates a massive amount of data at a veryfast  pace.  Objective  information  such  as  news,  and  subjective  contentsuch as opinions and emotions are intertwined and readily available. Thisdata is very appealing from both a research and a commercial point ofview, for applications such as public polling or marketing purposes. Acomplete understanding requires a combined view of information fromdifferent sources which are usually enriched (e.g .sentiment analysis) andvisualized in a dashboard.In this work, we present a toolkit that tackles these issues on differentlevels: 1) to extract heterogeneous information, it provides independentdata  extractors  and  web  scrapers;  2)  data  processing  is  done  with  in-dependent semantic analysis services that are easily deployed; 3) a con-figurable Big Data orchestrator controls the execution of extraction andprocessing tasks; 4) the end result is presented in a sensible and inter-active  format  with  a  modular  visualization  framework  based  on  WebComponents  that  connects  to  different  sources  such  as  SPARQL  andElasticSearch endpoints. Data workflows can be defined by connectingdifferent extractors and analysis services. The different elements of thistoolkit interoperate through a linked data principled approach and a setof  common  ontologies.  To  illustrate  the  usefulness  of  this  toolkit,  thiswork describes several use cases in which the toolkit has been success-fully applied.",
address = "Valletta, Malta",
booktitle = "On the Move to Meaningful Internet Systems. OTM 2018 Conferences. Part II",
doi = "10.1007/978-3-030-02671-4",
editor = "Herv{\'e} Panetto, Christophe Debruyne, Henderik A. Proper, Claudio A. Ardagna, Dumitru Roman, Robert Meersman",
isbn = "978-3-030-02671-4",
keywords = "sefarad;soneti;linked data;big data;web components",
month = "October",
pages = "498-515",
publisher = "Springer-Verlag",
series = "LNCS",
title = "{A} {B}ig {L}inked {D}ata {T}oolkit for {S}ocial {M}edia {A}nalysis and {V}isualization based on {W}3{C} {W}eb {C}omponents",
volume = "11230",
year = "2018",
}