A short video produced by UniverScience about scientific fact-checking is now online: http://www.universcience.tv/video-tech-check-des-scientifiques-face-aux-fake-news-19501.html and also on the Le Monde Web site: http://www.lemonde.fr/sciences/video/2018/01/24/comment-la-science-aide-a-reperer-les-fake-news_5246356_1650684.html
The poster paper “A Framework for Efficient Representative Summarization of RDF Graphs” by Šejla Čebirić, François Goasdoué and Ioana Manolescu has been accepted at the ISWC (International Semantic Web Conference).
The demo paper “Dagger: Digging for Interesting Aggregates in RDF Graphs” by Yanlei Diao, Ioana Manolescu and Shu Shang has been accepted at the ISWC conference.
The whole team gathered for a team seminar at the picturesque Abbey of Vaux-de-Cernay. 
The summary of some presentations at SIGMOD 2017 Keynote: Democratizing Advanced Analytics Beyond Just Plumbing Advanced analytics = data management + ML (Machine Learning). Machine Learning puts more focus on accuracy (or other evaluation metrics) and runtime efficiency while advanced analytics puts more focus on scalability, usability, manageability, developability. There are …
Ioana authored this article: http://binaire.blog.lemonde.fr/2017/04/05/la-verite-rien-que-la-verite/ explaining fact-checking to a general audience (in French). Binaire is a blog hosted by Le Monde where various computer scientists present selected topics of their discipline to the general public.
Šejla Čebirić will give a talk on Friday, April 14, at 2 pm, in the Turing building, room Grace Hopper. Title: Structural and Semantic Summarization of RDF Graphs Abstract: The Resource Description Framework (RDF) is the W3C’s graph data model for Semantic Web applications. RDF graphs are often large and …
The paper “Extracting Linked Data from statistic spreadsheets” by Tien-Duc Cao, Ioana Manolescu and Xavier Tannier has been accepted at the International Workshop on Semantic Big Data in conjunction with the ACM Conference 2017.
The associated team WebClaimExplain with AIST Japan (PIs: Julien Leblay, Ioana Manolescu, Michaël Thomazo) has been funded by Inria and the Japan partner for a duration of three years.
Data analysis tools developed within ANR ContentCheck, summarizing tweets and classifying them by the semantic categories of the tweet authors, are used in an article by Les Décodeurs: http://www.lemonde.fr/les-decodeurs/article/2016/12/12/primaire-de-la-droite-un-an-de-campagne-vu-depuis-twitter_5047574_4355770.html
