OVERVIEW

This course introduces the principles of data semantics and its role in improving data interoperability. Students will learn semantic annotation methods and gain hands-on experience with semantic technologies, focusing on applications in arts and culture.

AIMS AND CONTENT

LEARNING OUTCOMES

The teaching unit aims to provide an understanding of data semantics, defined as the meaning and interpretation of data by software agents. The ability to share, integrate, and reason over data is closely related to the correct representation and interpretation of its meaning. The course provides an overview of approaches to semantic data annotation and the skills needed to use Semantic Web and Linked Data technologies, with particular attention to the domain of arts and culture.

AIMS AND LEARNING OUTCOMES

At the end of the course, students 
- will have acquired knowledge about the principles and methods for data annotation
- will have acquired knowledge about the semantic web paradigm, ontologies and knowledge graphs
- will be able to design and refer to ontologies for data annotation
- will be able to managed semantic data and use them to build smart applications

- will have acquired desing skills

TEACHING METHODS

Teaching is based on lectures, working groups,  and on class exercises. Classes can be attended face-to-face or online.

Students who hold valid certificates relating to Specific Learning Difficulties (SLD), disabilities or other educational needs are invited to contact the lecturer and the school’s disability liaison officer at the start of the course to agree on any teaching arrangements which, whilst respecting the course objectives, take into account individual learning styles. 

The contact details for the university’s disability liaison officer are available at the following link: https://unige.it/commissioni/comitatoperlinclusionedeglistudenticondisabilita. 

SYLLABUS/CONTENT

 Main topics:

- Introduction to semantic annotation 
- The Semantic Web paradigm and the Web of Data
- RDF model
- Semantic web languages for data annotation and querying
-Taxonomies, vocabularies and ontologies 
- Knowledge graphs
- Linked data
- Applications and use cases for the arts and culture

RECOMMENDED READING/BIBLIOGRAPHY

D. Allemang, J. Hendler, F. Gandon, Semantic Web for the Working Ontologist: effective modeling for linked data, RDFS, and OWL , ACM Books; 3rd edition agosto 2020
Further readings and materials will be provided on the AulaWeb portal.

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

https://easyacademy.unige.it/portalestudenti/index.php?view=easycourse&_lang=it&include=corso

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The exam includes:

- written assessment, 
- development and discussion of a project

ASSESSMENT METHODS

The written assessment is designed to assess whether the student has acquired knowledge about semantic annotation and the methodologies for its use.
The project is aimed at assessing whether the student has acquired skills in the use of methodologies and technologies in application cases in the artistic and cultural field.

FURTHER INFORMATION

Students with valid certifications for Specific Learning Disorders (SLD) may request accommodations for exams at least 7 days prior to the exam date by filling out the “accommodation request form” (available via online services at https://modulionline.unige.it/richiesta-adattamenti# no-back), which will be automatically forwarded by the system to the instructor in charge of the course and to the faculty liaison for students with disabilities and SLDs in their School/Department. 

The student will receive a copy of their request.