Track 3: Data Science, knowledge engineering, and ontologies (including Information Retrieval, Big Data, Databases and Knowledge Systems)

Track chairs:

  • Sana Sellami, Aix Marseille University LIS Laboratory, France
  • Mohamed Reda Bouadjenek, Deakin University, Australia


The Data science, Knowledge Engineering, and Ontologies Track welcomes submissions of original, high-quality research related to data analytics, the extraction of information, the analysis, recommendation, and mining of data content. We also encourage submissions that explore how people understand, engage and interact with data content through Information Retrieval, including discovery, recommendations or question answering, and Big Data, Databases and Knowledge Systems. Research on both theoretical and applied aspects of data science and Knowledge Engineering-related tasks is encouraged.

The topics of interest of the track include, but are not limited to:

– Data science
             – Advanced data analytics
             – Machine learning and data science ( Learning representations and features from data, Machine learning algorithms for large-scale content mining)
             – Data cleaning
             – Data visualization
– Information Search and Retrieval
            – Query and document analysis, representation and understanding
            – Web search models, and ranking
            – Web recommender systems
            – Evaluation methodologies and metrics
– Knowledge engineering, and ontologies
            – Ontologies and semantics
            – Techniques for the creation, curation, publication and consumption of Knowledge Graphs, including Methods for Developing and Maintaining Shared Vocabularies/Ontologies
           – Data Modeling and Inference
           – Explanations and User-friendly Interaction
           – Exploitation of Semantic Data for Machine Learning Tasks

Examples of application areas :
• Healthcare
• Social sciences
• Recommender platforms
• Logistics
• Transportation
• Urban planning
• Resource management (energy, water, air quality, waste management

Program Committee:

Javier AlfonsoEspinosa-OviedoUniversity of Lyon, France
MartinMusicanteFederal University of Rio Grande do Norte, Brazil
ZafaryabRasoolDeakin University, Australia
MingLiuDeakin University, Australia
JiLiuBaidu Research, USA
FredericFlouvatAix Marseille University, France
AbderrahmaneMaaradjiUniversity Paris-Sorbone, France
GuermaziYassineAix Marseille University, France
SicongShaoUniversity of Arizona, USA
Ngoc DungHuynhDeakin University, Australia
DhirajNeupaneDeakin University, Australia
KhondakerTasrif NoorDeakin University, Australia
LakpaTamangDeakin University, Australia
MohammedBelgoumriDeakin University, Australia
MunaAl-HawawrehDeakin University, Australia
HakimHacidTechnology Innovation Institue, UAE
BaharehNakisaDeakin University, Australia
José LuisZechinelli MartiniUniversidad de las Amricas – Puebla, Mexico
MustaphaLebbahUniversity Paris-Saclay, France
SandroBimonteTSCF, INRAE Clermont-Ferrand, France
AliAkogluUniversity of Arizona, USA