PRESENTAZIONE

The Data Semantics course provides an introduction to the most challenging issues in knowledge and data representation and semantics, with particular emphasis on languages and technologies for the semantic web.

OBIETTIVI E CONTENUTI

OBIETTIVI FORMATIVI

Students will be provided with a sound grounding of scientific, methodological and technological fundamentals in ontologies and semantic annotations of data. Students will learn key elements of modeling, representation and exploitance of data semantics in the context of Semantic Web and for natural language processing. Relevant research issues and recent applications will be analyzed and discussed.

MODALITA' DIDATTICHE

Traditional: frontal lessons and laboratories

PROGRAMMA/CONTENUTO

Introduction:
Ontology engineering
Ontology learning & population
Ontology matching

Tools:
Protégé (theory)
Protégé (labo)
Jena/OWL API (theory)
Jena/OWL API (labo)

Natural Language Processing:
Tools and resources for NLP
Multilinguality issues
Open Research problems (negation, irony detection, ...)

Applications

DOCENTI E COMMISSIONI

Commissione d'esame

VIVIANA MASCARDI (Presidente)

BARBARA CATANIA

GIOVANNA GUERRINI

LEZIONI

Orari delle lezioni

L'orario di questo insegnamento è consultabile all'indirizzo: Portale EasyAcademy

ESAMI

MODALITA' D'ESAME

The exam modalities will be described on the AulaWeb module of the course, and clearly presented to the students during the first lesson

Calendario appelli