- Docente: Valentina Presutti
- Credits: 6
- SSD: INF/01
- Language: English
- 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)
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from Feb 27, 2023 to May 23, 2023
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from May 29, 2023 to Jun 06, 2023
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
Applied reasoning
Knowledge extraction from text
Ontology evaluation and quality
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)
Aidan Hogan et. al. Knowledge graphs. ACM Computing Surveys, Vol. 54, No. 4, Article 71
Semantic Web (W3C Recommendations):
OWL 2: https://www.w3.org/TR/2012/REC-owl2-rdf-based-semantics-20121211/
RDF: https://www.w3.org/TR/2014/REC-rdf11-mt-20140225/
SPARQL: https://www.w3.org/TR/2013/REC-sparql11-query-20130321
Teaching methods
Lectures, lab practice, and self-assessment quizzes.
Assessment methods
- Group project: selected from a list proposed by the teachers (with individual assessment)
- Presentation (individual): critical analysis of a scientific paper (15 minutes)
Project: the students will apply the eXtreme Design methodology (learned and experimented during the classes) for creating a knowledge graph starting from existing resources (databases, texts, etc.) by reusing / extending other ontologies and when necessary by applying tools and methods for knowledge extraction, entity linking, ontology alignment, etc.
Teachers will assign a project to each group 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