Constructing and Mining Biomedical Knowledge Graphs
A.Y. 2024/2025
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
Lead instructor: Marco Mesiti
Knowledge graphs can be used as an integration means of heterogenous
biomedical concepts and relationships existing in different biological
data sources. The presence of heterogeneous information related to the
same topic (e.g. patients, therapies, diseases) can be exploited for
tackling many biomedical problems, such as finding new treatments for
existing drugs, aiding efforts to diagnose patients, and identifying
associations between diseases and biomolecules. In the course, we will
provide background notions on the characteristics of knowledge graphs,
the languages for their representation and querying, and the systems
used for their storage. Then, we will discuss machine
learning techniques that can be used for the construction and mining of
knowledge graphs in different kinds of biomedical applications.
biomedical concepts and relationships existing in different biological
data sources. The presence of heterogeneous information related to the
same topic (e.g. patients, therapies, diseases) can be exploited for
tackling many biomedical problems, such as finding new treatments for
existing drugs, aiding efforts to diagnose patients, and identifying
associations between diseases and biomolecules. In the course, we will
provide background notions on the characteristics of knowledge graphs,
the languages for their representation and querying, and the systems
used for their storage. Then, we will discuss machine
learning techniques that can be used for the construction and mining of
knowledge graphs in different kinds of biomedical applications.
Basic knowledge of data management, basic knowledge of machine Learning.
Mandatory for students of the Phd programme in "Computer Science" at first year, 38th cycle
Mandatory for students of the Phd programme in "Computer Science" at first year, 38th cycle
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol
Deadlines
The course enrolment deadline is usually the 27th day of the month prior to the start date.
How to enrol
- Access enrolment on PhD courses online service using your University login details
- Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)
Ignore the option "Exam session date” that appears during the enrolment procedure.
Contacts
For help please contact [email protected]
Professor(s)
Reception:
Appointments by e-mail
Dept. of Computer Science, via Celoria 18, room 3011