The purpose of this class is to study the structure of data on the Web and to explain how such data can be represented, described, and queried. The Web is a massively distributed source of heterogeneous and imprecise data of varying structures, collectively amounting to a wealth of information. We will focus on the connections between practical approaches (models, languages, tools for Web data management) and the underlying theoretical foundations (logics, automata, probabilities, etc.). The course partly draws on freely available material from the Web Data Management textbook.
To upload your project description: please make sure you are logged in, and please "self-enrol" to the class. Then, please use the "Project topic submission" entry on the course page to submit your proposal.
Internship offers: for internships offers with Antoine, see here. Silviu also has available PhD funding; please contact him if you are interested.
- Opened: Wednesday, 8 December 2021, 12:00 AMDue: Saturday, 18 December 2021, 12:00 AM