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CODE 83869
ACADEMIC YEAR 2021/2022
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR INF/01
LANGUAGE Italian (English on demand)
TEACHING LOCATION
  • SAVONA
SEMESTER 1° Semester
TEACHING MATERIALS AULAWEB

AIMS AND CONTENT

LEARNING OUTCOMES

The aim of the course is to provide students with knowledge and understanding of key features of the Internet and Web evolution, specifically Semantic Web. 

AIMS AND LEARNING OUTCOMES

This course will present the Internet infrastructure and will describe new paradigms such as the Internet of Things and Cloud Computing.  The course will then focus on the Semantic Web and on related formalisms for knowledge representation, with exercises and description of application scenarios.

 

TEACHING METHODS

This year the course will be held online using Microsoft Teams platform.

More information at the link https://corsi.unige.it/9913/news/12704-modalit%C3%A0-didattica-per-lavvio-dellaa-202122.

SYLLABUS/CONTENT

Internet infrastructure: key concepts about TCP/IP model, next generation internet, mobile internet and Internet of Things. Cloud Computing. Web Evolution: Social and Semantic Web, Linked Data, Semantic Web of Things, markups for structured data.

RECOMMENDED READING/BIBLIOGRAPHY

  • Learning content, including slides and exercises, are available on  aulaweb
  • Books:
    • J. F. Kurose, Keith W. Ross. Reti di calcolatori e internet 6/Ed. Un approccio top-down, 2013
    • Di Noia, De Virgilio, Di Sciascio, M. Donini. Semantic Web. Tra ontologie e open data, Apogeo, 2013

TEACHERS AND EXAM BOARD

Exam Board

ILARIA TORRE (President)

GIOVANNI ADORNI

GIANNI VIARDO VERCELLI (President Substitute)

LESSONS

LESSONS START

https://corsi.unige.it/9913/p/studenti-orario

Lessons start on Thursday 7 October, at 2:00 PM

 

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

At the end of the course, students will be skilled about Internet infrastructure and new trends, and should have abilities to build and query an ontology and to annotate web contents by using structured data markups (Microdata, RDFa, JSON-LD).  

 

ASSESSMENT METHODS

 

  • oral assessment, 
  • development and discussion of a project

Exam schedule

Data appello Orario Luogo Degree type Note
12/01/2022 14:30 GENOVA Orale
26/01/2022 14:30 GENOVA Orale
10/06/2022 14:30 GENOVA Orale
20/07/2022 14:30 GENOVA Orale
02/09/2022 14:30 GENOVA Orale
15/09/2022 14:30 GENOVA Orale