The objective of the project is to devise, study and experimentally analyse techniques of management and analysis of massive semi-structured data, with a particular focus on web and graph data. These types of data are increasingly used in crucial application contexts, such as workflow management, social networks, the Semantic Web, traffic analysis, detection / prevention of fraud and criminal acts, bioinformatics, recommender systems.
The project activities are divided into 3 areas.
Search for aggregative information on workflows.
Safe and efficient processing of massive semi-structured data sets.
Integration of massive data data via crowdsourcing.