Ludovic Moncla

Associate professor in computer science at INSA Lyon (Department of Industrial Engineering) and LIRIS laboratory (UMR 5205 CNRS).

Leader of the “Humanités Numériques Spatialisées” working group of CNRS GdR MAGIS with C. Brando.

Member of LabEx IMU (Intelligence des Mondes Urbains).
Member of LabEx ASLAN.
Member of SciDoLySE (Science des Données à Lyon et Saint-Etienne) research group.

INSA Lyon, Université de Lyon,
LIRIS (UMR 5205 CNRS)
Batiment Blaise Pascal
F-69621 Villeurbanne cedex, France

My research is oriented towards pluri-disciplinary aspects of Natural Language Processing (NLP), information retrieval, data mining, digital humanities and geographical information science (GIS) (cf. list of publications).
I was previously (2016-2018) a postdoctoral researcher at the Naval Academy Research Institute (IRENav) in France, where I worked with Prof. C. Claramunt. I hold a PhD in computer science from the University of Pau (France) and University of Zaragoza (Spain) (supervised by Prof. M. Gaio, Prof. J. Nogueras-Iso and Dr. S. Mustière).

Current Research Projects

GEODE - LabEx ASLAN (2020-2024)
GEODE studies the major changes in geographic discourses in French encyclopedias between 1751 (the publication date of the first volume of the Encyclopédie ou dictionnaire raisonné des sciences, des arts et des métiers) and today (Wikipedia-France, 2018). The corpus will include not only these two encyclopedias, but also La Grande Encyclopédie (1885-1902), the Encyclopædia Universalis (2018). Each of these works constitutes a major step in the editorial history of encyclopedic publications in France since the Enlightenment. Our approach is resolutely interdisciplinary, including experts from linguistics, geographic information retrieval, computational linguistics, geography, history and digital humanities.
Project leaders: L. Moncla (LIRIS) and D. Vigier (ICAR)
Consortium: LIRIS, ICAR, EVS, LLF, LIDILEM
HExtGEO - IDEX Lyon Impulsion (2019-2020)
This project aims to design a software platform integrating different methods of the field of artificial intelligence combining NLP and Data Mining for the processing and analysis of geographic information. This project will strengthen interdisciplinary collaborations and federate research in engineering (computer science, data science) and social sciences (geography, history) around digital and societal issues related to the territory and the exploitation of textual data.
Project leader: L. Moncla (LIRIS)
Consortium: LIRIS
GéoDisco - MSH Lyon St-Etienne (2019-2020)
Géodisco combines GIS, NLP, textometry and discourse analysis around the same question: “What geographical representations of the world do French encyclopedias convey through their discourses, and what do these representations tell us about the time when these encyclopedias were written and published? This project is part of a network of national and international collaborations around encyclopedias and dictionaries.
Project leader: D. Vigier (ICAR)
Consortium: ICAR, LIRIS, EVS
HIL - LabEx IMU (2017-2020)
The aim of the project is to improve the spatial recommendation procedures by proposing neighbourhoods to people seeking housing. It consists of two parts. The first concerns the analysis and categorisation of neighbourhoods through a multidisciplinary perspective. Based on existing data, this involves producing an original typology of neighbourhoods in the Lyon conurbation and formalising these results and selected indicators in a computer model. The second part concerns the recommendation itself, with the aim of developing a method for matching the types of neighbourhood and the profiles of purchasers using the Home in Love platform.
Project leaders: L. Bonneval (CMW) and F. Favetta (LIRIS)
Consortium: CMW, LIRIS, Home in Love
CHOUCAS - ANR project (2017-2021)
Integration of heterogeneous data and spatial reasoning for assistance in locating victims in mountains. The project CHOUCAS is interdisciplinary involving researchers in geographic information sciences, computer science and natural language processing. The aim of the project is to provide methods and tools for enriching, structuring, querying and visualising spatial data coming from heterogeneous sources and reasoning to help the rescue teams to speed up the phase of victims location and to better estimate a probable location area.
Project leader: A.-M. Olteanu-Raimond (LaSTIG)
Consortium: LaSTIG, LMAP, LIG, PGHM de Grenoble

Previous Research Projects

YACA - Interreg Aquitaine-Aragon (2015-2017)
Open Source implementation of the multilingual processing chain for recognition, disambiguation and geocoding of place names from hiking descriptions.
Project leader: M. Gaio (LIUPPA)
Consortium: LIUPPA, IAAA
PERDIDO - CDAPP-IGN (2012-2015)
Project for extracting and retrieving displacements from textual documents. The main objective is the automatic geocoding of itineraries described in natural language. The work is divided into two main tasks. The first task aims at identifying and extracting information describing the itinerary in texts such as spatial named entities and expressions of displacement or perception. The second task deals with the reconstruction of the itinerary.
Project leader: M. Gaio (LIUPPA)
Consortium: LIUPPA, IAAA, COGIT IGN

Research interest

  • Natural Language Processing (NLP), Text mining and Linked Data (LOD)
  • Geographical Information Retrieval (GIR)
  • Hybrid approaches for IR (machine learning and rule based methods)
  • Digital humanities
  • Semantic-based GIS

Teaching

Current

  • Data Science
  • Algorithms and data structures
  • Programming
  • Databases and XML

Past

  • Computer architecture and operating systems
  • Databases
  • Information retrieval
  • Semantic web
  • Algorithms and Programming
  • Networks

Contact

INSA Lyon, Université de Lyon,
LIRIS (UMR 5205 CNRS)
Batiment Blaise Pascal
F-69621 Villeurbanne cedex, France