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SEMANTIC WEB AND LINKED DATA

CODE	80459
ACADEMIC YEAR	2022/2023
CREDITS	6 cfu during the 2nd year of 11160 COMPUTER ENGINEERING (LM-32) - GENOVA
SCIENTIFIC DISCIPLINARY SECTOR	ING-INF/05
LANGUAGE	English
TEACHING LOCATION	GENOVA
SEMESTER	1° Semester
TEACHING MATERIALS	AULAWEB

OVERVIEW

The Semantic Web and Linked Data technologies are the fulcrum of this teaching: starting from XML and RDF up to the conceptual representations in OWL. These technologies, and the associated methodologies, will be used in the design and implementation of "smart" user interfaces, which exploit ontologies and open and linked data.
Finally, software tools and use cases will be presented to compare Semantic Web and Machine Learning in the management of datasets and complex systems.

AIMS AND CONTENT

LEARNING OUTCOMES

In this course, you will learn the fundamentals of Semantic Web technologies. You will learn how to collect information form linked data and metadata to represent knowledge an build knowledge bases, and how to access and benefit from semantic web technologies applied to smart applications in a H2020 perspective.

AIMS AND LEARNING OUTCOMES

At the end of the course the student will acquire skills and competencies related to design and implementation of “smart” apps and services based on semantic technologies.

TEACHING METHODS

Lectures and thematic seminars will be provided during the fall semester. Online activities will be delivered through UniGe digital platforms to permit a continuous assessment of students' competencies.

SYLLABUS/CONTENT

Introduction to Semantic Web as Web of Data: XML-based technologies, pros&cons, software tools for open and linked data interchange.
Semantic Languages for description, annotation, query and knowledge representation: RDF, RDF-S, SPARQL, OWL.
Ontologies and metadata for the Semantic Web: annotation of digital resources through standard metadata (Dublin Core, Linked Data), ontology design for semantic search engines and reasoners.
Design and implementation of smart applications and semantic web services.
Deep Learning and Semantic Web with large dataset.
Linked Data Programming and Semantic Knowledge Mining

TEACHERS AND EXAM BOARD

GIANNI VIARDO VERCELLI

Office hours: In attendance: by appointment via e-mail at the DIBRIS (office TA.10, Villa Bonino - Mezzanine floor) in Viale Francesco Causa 13, Genoa or at the 3DLabFactory (room T.008, Palazzina Lagorio, ground floor), Campus di Savona, Via A. Magliotto 2, Savona Remote call: by appointment via e-mail at gianni.vercelli@unige.it During the semester the teacher will be available at the end of the planned activities, always by appointment, except impediments.

Exam Board

GIANNI VIARDO VERCELLI (President)

ANTONIO BOCCALATTE

ILARIA TORRE

GIOVANNI ADORNI (President Substitute)

LESSONS

LESSONS START

https://courses.unige.it/11160/p/students-timetable

Class schedule

All class schedules are posted on the EasyAcademy portal.

EXAMS

EXAM DESCRIPTION

Oral presentation of the assigned final project and evaluation of intermediate online activities.

ASSESSMENT METHODS

The exam grading is based on the mean average between scores of continuous evaluation of online activities carried out during the semester (50%) and the oral presentation of the assigned final project on course topics (50%).

Exam schedule

Date	Time	Location	Type
11/01/2023	14:30	GENOVA	Scritto
02/02/2023	14:30	GENOVA	Scritto
06/06/2023	14:30	GENOVA	Scritto
12/07/2023	14:30	GENOVA	Scritto
05/09/2023	14:30	GENOVA	Scritto

FURTHER INFORMATION

Students with disabilities or learning disorders are allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the Delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities, prof. Francesco Curatelli. Students are invited to contact the teacher and copy the Delegate (francesco.curatelli@unige.it).