=Paper=
{{Paper
|id=Vol-1318/ks4
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1318/ks.pdf
|volume=Vol-1318
}}
==None==
SIMBig 2014 Keynote Speakers Mining Social Networks: Challenges and Directions Pascal Poncelet, Lirmm, Montpellier, France Professor Pascal Poncelet talk was focused on analysis of data associate to social network. In his presentation, Professor Poncelet summarized several techniques through knowledge discovery on databases process. NLP approaches: How to Identify Relevant Information in Social Networks? Mathieu Roche, UMR TETIS, Irstea, France In this talk, doctor Roche outlined last tendencies in text mining task. Several techniques (sentiment analysis, opinion mining, entity recognition, ...) on different corpus (tweets, blogs, sms,...) were detailed in this presentation. Social Network Analysis: Overview and Applications Hakim Hacid, Zayed University, Dubai, UAE Doctor Hacid presented a complete overview concerning techniques associated to explote social web data. Techniques as social network analysis, social information retrieval and mashups full completion were presented. Putting intelligence in Web Data With Examples Education Mathieu d’Aquin, Knowledge Media Institute, The Open University, UK Doctor d'Aquin presented several web mining approaches addressed to education issues. In this talk doctor d'Aquin detailed themes like intelligent web information and knowledge processing, the semantic web, among others. 7