Links is a research team of Inria Lille, the University of Lille, and the CNRS (Cristal Lab).
Cake of Thursday
| Links' News |   |
Mon, November 5, 2018 9:00 am 10:00 am | Bruno Guillon arrives: our new postdoc working on distributed databases |
Mon, October 15, 2018 to Tue, October 16, 2018 all day |  Inria 40 Avenue Halley, 59650 Villeneuve d'Ascq, France |
Mon, September 17, 2018 all day | |
Mon, September 3, 2018 11:00 pm 12:00 am | Sławek Staworko's paper on SheX containment got accepted at PODS 2019! |
Tue, August 28, 2018 to Fri, August 31, 2018 all day | A major conference on logic in AI origanized in Lille. EuraTechnologies, Lille, France |
Mon, August 27, 2018 all day | Rustam Azimov, a PhD student from Petersburg, starts his 3-months visit of Links. He will work with Sylvain Slavati and Joachim Niehren. |
Mon, April 16, 2018 all day | ICALP'18 paper accepted by Charles Paperman Constrained Topological Sorting by Antoine Amarilli and Charles Paperman arxiv.org/pdf/1707.04310.pdf |
Thu, March 15, 2018 all day | ShEx 2.0 Release of Java Implementation Publication of a first version of the implementation of ShEx 2.0 in java [ github.com/iovka/shex-java | github.com/iovka/shex-java ] |
Thu, February 1, 2018 to Thu, February 8, 2018 all day | Visit of Vincent Penelle, Université de Bordeaux |
Tue, January 16, 2018 all day | Visit of Yann Strozecki, Université de Versailles |
Mon, January 8, 2018 all day | Arrival of Jérémie Dusard Jérémie will work as an engineer on ShEx with Iovka Boneva |
Wed, January 3, 2018 10:00 am 11:00 am | I. Boneva published a book published with the W3C on schemas validation for the semantic Web |
Tue, December 19, 2017 5:00 am 6:00 am | Annual report of Links 2017 is ready. |
Mon, September 4, 2017 5:00 pm 6:00 pm | ISWC 2017 paper accepted By Iovka Boneva, Jose E. Labra Gayo, Eric G. Prud'hommeaux: Semantics and Validation of Shapes Schemas for RDF hal.archives-ouvertes.fr/hal-01590350 |
Wed, August 30, 2017 11:00 am 12:00 pm | Arrival of Florent Capelli as associate professor in Links |
Mon, August 28, 2017 11:00 am 12:00 pm | Arrival of Charles Paperman as associate professor in Links |
Tue, May 16, 2017 all day | Medal "Palme Academique" for Sophie Tison by the Université de Lille 1 |
Tue, May 9, 2017 all day | Pierre Bourhis' paper with Oxford (Benedikt and Vanden Boom) in Track B of ICALP'17 won the best paper award! Warsaw, Poland |
Wed, May 3, 2017 all day | Vincent Hugot, Adrien Boiret, and Joachim Niehren: Equivalence of Symbolic Tree Transducers Liege, Belgium |
Sat, April 22, 2017 all day | IJCAI'17 paper accepted Pierre Bourhis with Vienna (Morak and Pieris): Making Cross Products and Guarded Ontology Languages Compatible Melbourne |
Sat, April 22, 2017 all day | IJCAI'17 paper accepted Sophie Tison and Pierre Bourhis with Montpellier (Bienvenu, Mugier, Ulliana): Ontology-Mediated Query Answering for Key-Value Stores Melbourne |
Fri, April 14, 2017 all day | Pierre Bourhis with Oxford (Benedikt and Vanden Boom): Characterizing Definability in Decidable Fixpoint Logics Warsaw |
Fri, April 14, 2017 all day | Pierre Bourhis with Amarilli (Telecom Paristec), Jachiet (Lens) and Mengel (Lens): A Circuit-Based Approach to Efficient Enumeration Warsaw |
Fri, April 14, 2017 all day | Nicolas Bacquey with Etienne Grandjean (Caen) and Frédéric Olive (Marseille): Definability by Horn formulas and linear time on cellular automata Warsaw |
Fri, March 31, 2017 all day | Edinburgh-Links exchange projet accepted Funded by University of Lille. Coordinator: Slawek Staworko |
Fri, March 31, 2017 all day | Lille-Oxford cooperation project accepted Funded by University of Lille. Contact: Pierre Bourhis |
Thu, February 2, 2017 all day | Sylvain Salvati with Bordeaux (Gallot, Musholl, and Puppis): On the decomposition of finite-valued streaming string transducers |
Sun, August 28, 2016 all day | Paper accepted at PODS’17 Pierre Bourhis, Domagoj Vrgoc (Santiago di Chile), ... |
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
