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Links is a research team of Inria Lille, the University of Lille, and the CNRS (Cristal Lab).

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2022
Tue 17th May
9:00 am
10:00 am
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Corentin Barloy and Charles Paperman paper accepted @ LICS: The Regular Languages of First-Order Logic with One Alternation
Link to the paper arxiv.org/abs/2203.06075
Tue 29th Mar
to Fri 1st Apr
 all day
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Journées Nationales du GDR IM 2022
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Co-organiser par Sophie Tison. Charles Paperman is invited speaker
Tue 15th Mar
 all day
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ICLP'2022 paper accected
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Jumping Evaluation of Nested Regular Path Queries. Joachim Niehren, Rustam Azimov, and Sylvain Salvati
Mon 17th Jan
1:00 pm
2:15 pm
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ICDT'2022 best newcomer award for Capelli, Crosetti, Niehren & Ramon: Linear Programs with Database Queries
hal.inria.fr/hal-01981553
2021
Sat 18th Dec
9:45 am
10:45 am
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Sigmod paper of Mikael Monet on Shapley values accected.
Sat 18th Dec
9:00 am
10:00 am
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Paper accecpted at VLDB'22 by Slawek Staworko on Threshold queries
Thu 16th Dec
10:00 am
1:00 pm
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Soutenance de Paul Gallot
The most recent version of the abstract is included in the PhD Manuscript
available at chercheurs.lille.inria......t.pdf


Wed 1st Dec
1:15 pm
2:15 pm
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ICDT'2022 paper accepted by Capelli, Crosetti, Niehren & Ramon: Linear Programs with Database Queries
Fri 16th Jul
9:00 am
10:00 am
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ICALP 2021 Best Paper award for Charles Paperman et al.
Thu 22nd Apr
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"Dynamic membership for regular languages" @ICALP21
Charles get a paper accepted @ICALP

arxiv.org/abs/2102.07728

Fri 2nd Apr
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2020
Mon 14th Dec
2:00 pm
4:00 pm
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Soutenance de thèse - Jose-Martin Lozano

Wed 2nd Dec
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AAAI 2021 paper accepted by Florent Capelli et. al.
Certifying Top-Down Decision-DNNF Compilers
Wed 2nd Dec
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AAAI 2021 paper by Mikaël Monet et al. accepted
The Tractability of SHAP-Score-Based Explanations over Deterministic and Decomposable Boolean Circuits. arXiv: arxiv.org/abs/2007.14045
Fri 13th Nov
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PODS 2021 paper accepted Corentin Barloy, Filip Murlak and Charles Paperman
Stackless Processing of Streamed Trees paperman.name/data/pub.....d.pdf
Thu 1st Oct
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Corentin Barloy starts his PhD project
Thu 1st Oct
 all day
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Mikael Monet arrives as Junior Researcher
Tue 29th Sep
9:00 am
10:00 am
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ANR Project of Florent Capelli accepted. On knowledge compilation
Tue 1st Sep
 all day
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Arrival of Chérif Ba as engineer
Mon 24th Aug
9:00 am
10:00 am
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MFCS paper accepted by Paul Gallot, Aurélin Lemay and Sylvain Salvati: https://hal.inria.fr/hal-02902853
Fri 24th Jul
2:30 pm
4:30 pm
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Dr. Momar Sakho defended his PhD.
Mon 6th Jul
to Fri 10th Jul
 all day
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École d'été Kocoon (cancelled) organisée par Florent Capelli, Pierre Marquis, Stefan Mengel, and Pierre Bourhis, à Lille
Tue 30th Jun
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ICALP 2020 paper by Charles Paperman accepted
On Polynomial Recursive Sequences ( Michaël Cadilhac, Filip Mazowiecki, Charles Paperman, Michał Pilipczuk and Géraud Sénizergues ) drops.dagstuhl.de/opus.....7.pdf
2019
Mon 16th Dec
to Thu 19th Dec
 all day
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Workshop Kocoon at Arras, organized by Pierre Bourhis, Florent Capelli, Pierre Marquis and Stefan Mengel
More info at : kocoon.gforge.inria.fr/
Fri 27th Sep
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Mikael Monet visiting
Tue 4th Jun
 all day
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Arrivée de Fanny Canivet en stage de L3 : "Proof systems based on restricted Boolean circuits"

Fri 10th May
10:00 am
11:00 am
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IJCAI'2019 paper by Sophie Tison et al. accepted.
In cooperation with Montpellier: Oblivious and Semi-Oblivious Boundedness for Existential Rules” (P. Bourhis, F. Ulliana, M. Leclère, ML Mugnier, S. Tison, L. Gallois).
Mon 22nd Apr
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SAT'19 paper by Florent Capelli accepted
Knowledge compilation languages as proof systems ,arxiv.org/abs/1903.04039 [ arxiv.org/abs/1903.04039 ]
Fri 12th Apr
to Thu 18th Apr
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Rustam Azimov from Saint Petersburg visits Links
Mon 1st Apr
to Fri 26th Apr
 all day
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Semyon Grigorev from Saint Petersburg visits Links
Semyon is the supervisor of Rustam Azimov. He will work with Sylvain and Joachim
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Inria Lille
Fri 18th Jan
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Visit of Marie-Laure Mugnier and Federico Ulliana from Montpellier
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Inria
40 Avenue Halley, 59650 Villeneuve-d'Ascq, France
2018
Thu 20th Dec
5:00 pm
6:00 pm
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STACS'19 paper by Florent Capelli accepted: "Tractable QBF via Knowledge Compilation" with Stefan Mengel

Team presentation

The appearance of linked data on the web calls for novel database management technologies for linked data collections. The classical challenges from database research need to be now raised for linked data: how to define exact logical queries, how to manage dynamic updates, and how to automatize the search for appropriate queries. In contrast to mainstream linked open data, the LINKS project will focus on linked data collections in various formats, under the assumption that the data is correct in most dimensions. The challenges remain difficult due to incomplete data, uninformative or heterogeneous schemas, and the remaining data errors and ambiguities. We will develop algorithms for evaluating and optimizing logical queries on linked data collections, incremental algorithms that can monitor streams of linked data and manage dynamical updates of linked data collections, and symbolic learning algorithms that can infer appropriate queries for linked data collections from examples.

Research themes

We will develop algorithms for answering logical querying on heterogeneous linked data collections in hybrid formats, distributed programming languages for managing dynamic linked data collections and workflows based on queries and mappings, and symbolic machine learning algorithms that can link datasets by inferring appropriate queries and mappings. Our main objectives are structured as follows:

  • Querying heterogeneous linked data. We will develop new kinds of schema mappings for semi- structured datasets in hybrid formats including graph databases, rdf collections, and relational databases. These induce recursive queries on linked data collections for which we will investigate evaluation algo- rithms, static analysis problems, and concrete applications.
  • Managing dynamic linked data. In order to manage dynamic linked data collections and workflows, we will develop distributed data-centric programming languages with streams and parallelism, based on novel algorithms for incremental query answering, will study the propagation of updates of dynamic data through schema mappings, and will investigate static analysis methods for linked data workflows.
  • Linking graphs. Finally, we will develop symbolic machine learning algorithms, for inferring queries and mappings between linked data collections in various graphs formats from annotated examples.

International and industrial relations

  • Stream Processing: QuiXTools (with Innovimax)
  • FUI Hermes

Permanent link to this article: https://team.inria.fr/links/