The demonstration “UDAO: A Demonstration of a Next-Generation Unified Data Analytics Optimizer” by Khaled Zaouk, Fei Song, Chenghao Lyu, Yanlei Diao, Prashant Shenoy has been accepted at PVLDB 2019.
The demonstration “Spade: A Modular Framework for Analytical Exploration of RDF Graphs” by Yanlei Diao, Pawel Guzewicz, Ioana Manolescu and Mirjana Mazuran has been accepted at PVLDB 2019.
The paper “Parallel Quotient Summarization of RDF Graphs” by Pawel Guzewicz and Ioana Manolescu has been accepted for publication in the Int’l. Workshop on Semantic Big Data (SBD) 2019, in conjunction with the SIGMOD conference.
The paper “Extracting statistical mentions from textual claims to provide trusted content” by Tien-Duc Cao, Ioana Manolescu and Xavier Tannier has been accepted as a short paper (poster) in the 24th International Conference on Applications of Natural Language to Information Systems (NLDB) 2019.
The paper “Towards Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue” by Rana Al-Otaibi, Damian Bursztyn, Alin Deutsch, Ioana Manolescu and Stamatis Zampetakis has been accepted for publication in SIGMOD 2019.
The paper “A Linked Data Model for Facts, Statements and Beliefs” by Ludivine Duroyon, François Goasdoué and Ioana Manolescu has been accepted for publication in the workshop “Misinformation, Computational Fact-Checking and Credible Web” in conjunction with The Web Conference (WWW) 2019.
The paper “Reformulation-based query answering for RDF graphs with RDFS ontologies” by Maxime Buron, François Goasdoué, Ioana Manolescu and Marie-Laure Mugnier has been accepted for presentation at ESWC 2019.
Juliana Freire, Professor at NYU, will give a two-parts seminar (with a lunch break) on Monday, February 11, 2019 – From 10.30am to 3pm, titled: Provenance and Computational Reproducibility Place: Inria Saclay/LIX, Turing building, 1 rue Estienne d’Honoré d’Orves, 91120 Palaiseau – Room Gilles Kahn Abstract: Data-driven exploration has revolutionized …
DATE & TIME: January 21st (Monday), 14:00 PLACE: Thomas Flowers room TITLE: Exploring multidimensional data through skylines: computing and sampling skylines ABSTRACT: In everyday life, users often wish to order data items according to multiple criteria. As those multiple orders need not be correlated in general, there generally is no single best item. As …
Abstract Graphs can model a variety of datasets, spanning from social networks to text. Because of the diversity and relevance of applications, it is important to develop algorithms that are well-suited for mining real-world graphs. In this talk, I will give several results on mining dense subgraphs, where density is …