WEB-CUBE Team: Fuzziness, Alignments, Data & Ontologies

Axis I: Web Architecture

The objective is to take interest in architectural issues and the changes underlying the Web:

• Challenges: those are related to modeling and data processing in the Web (graph-oriented knowledge representation & treatments), scalability, resilience, distributed processing, interoperability and the emergence of new architectures and paradigms.
• Keywords: Web Oriented Architecture, Property Graphs, Scalability, Data Mesh, Databases & Fuzziness, D-APP/Blockchain
• Key areas: Finance, Security, Digital forensic science, Health

Axis II: Semantic Web

The objective is to address the protocols and methods of representation and exchange of data and knowledge.

• Challenges: those are linked to data binding, to the alignment of data and ontologies of different types (work on the entire cycle), to the extraction of knowledge (for example, in clinical data), to the challenges related to semantic annotation (relationship detection, disambiguation, use of learning methods)
• Keywords: ontologies, knowledge graphs, ontology alignment, ontology-based services, text and graph embeddings
• Key areas: social sciences (fact-checking, points of view, journalism), environment, agronomy, health, social networks, digital forensic science

Axis III: Web of Data

The objective of this axis is to allow a better understanding and better processing of data and information.

• Challenges: those are related to the exploitation of web of data; approaching data lakes (data storage pending their use); the conservation of potentially relevant data, alone or in combination; interdisciplinary work (cognitive sciences, anthropology, history, law, evolution, etc.); data governance.
• Keywords: Linked Open Data, Data Science, Data Lakes, Databases & Fuzziness, Property Graphs, NoSQL, FAIR Data, Blockchain, Applied machine learning
• Key areas: Environment, Health, SHS, Finance, Digital forensic science