- Docente: Valentina Presutti
- Credits: 6
- SSD: INF/01
- Language: Italian
- Moduli: Valentina Presutti (Modulo 1) Andrea Giovanni Nuzzolese (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Artificial Intelligence (cod. 9063)
Learning outcomes
At the end of the course, the student knows some (semi-)automated methods for joint interpretation of data and content as sources of knowledge. The student masters the basics of knowledge extraction, engineering, and linking, making data suitable to machine querying and automated reasoning, typically on decentralized platforms such as the Web.
Course contents
Knowledge graphs and ontologies
OWL, RDF, SPARQL
Ontology Design methodologies, focus on Extreme Design
Intensional and Extensional modelling
Ontology design patterns
Knowledge Acquisition
Applied reasoning
Readings/Bibliography
Notes and slides provided by the teacher.
Hitzler, P., Gangemi, A., & Janowicz, K. (2016). Ontology Engineering with Ontology Design Patterns. Amsterdam: IOS Press.
P.A. Bonatti, S. Decker, A. Polleres, V. Presutti, Knowledge graphs: new directions for knowledge representation on the Semantic Web (dagstuhl seminar 18371). Dagstuhl Rep. 8(9), 29–111 (2019)
Teaching methods
Lectures and self-assessment quizzes.
Assessment methods
- Presentation (individual): critical analysis of a scientific paper selected from a list of proposals by the teachers
- Group project: selected from a list proposed by the teachers (with individual assessment)
Project: the students will apply the eXtreme Design methodology (learned and experimented during the classes) for creating a knowledge graph starting from an existing resource (database, text, etc.) by reusing / extending other ontologies
Teachers will assign a project to each group focusing on the Cultural Heritage domain and will provide the specification for its realisation. Before the assignment each group will have the possibility to express two preferences on a list of available projects. These preferences will be considered but not guaranteed (in case of conflicts).
Teaching tools
Slides and tools for self-assessment.
Office hours
See the website of Valentina Presutti
See the website of Andrea Giovanni Nuzzolese