FUTURE INTERNET

FUTURE INTERNET

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iten
Code
83869
ACADEMIC YEAR
2020/2021
CREDITS
6 credits during the 2nd year of 9913 DIGITAL HUMANITIES - COMMUNICATION AND NEW MEDIA (LM-92) SAVONA
SCIENTIFIC DISCIPLINARY SECTOR
INF/01
LANGUAGE
Italian (English on demand)
TEACHING LOCATION
SAVONA (DIGITAL HUMANITIES - COMMUNICATION AND NEW MEDIA)
semester
1° Semester
Teaching materials

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 

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

Ricevimento: Appointment by email

Exam Board

ILARIA TORRE (President)

GIANNI VIARDO VERCELLI

LESSONS

Teaching methods

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

LESSONS START

FIRST SEMESTER

Thursday:  9 am -1 pm 

 

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