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DATA SEMANTICS

CODICE 90541
ANNO ACCADEMICO 2018/2019
CFU 6 cfu al 2° anno di 10852 COMPUTER SCIENCE (LM-18) GENOVA
SETTORE SCIENTIFICO DISCIPLINARE INF/01
LINGUA Inglese
SEDE GENOVA (COMPUTER SCIENCE )
PERIODO 1° Semestre
MATERIALE DIDATTICO AULAWEB

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.

OBIETTIVI FORMATIVI (DETTAGLIO) E RISULTATI DI APPRENDIMENTO

After the course students will be able to design and implement an ontology and to understand, present and discuss in a critical way the most challenging issues in ontology development and in Natural Language Processing.

MODALITA' DIDATTICHE

Traditional: frontal lessons and laboratories

PROGRAMMA/CONTENUTO

Contents:

Ontology languages and tools:

  • RDF&RDFS
  • OWL
  • SPARQL

Semantic Data Management: 

  • RDF Use Cases
  • Linked Open Data
  • Ontologies for data integration

Computational linguistic:

  • Tools and resources for NLP
  • Multilinguality issues
  • Open Research problems (negation, irony detection, ...)

Ontology development:

  • Ontology engineering
  • Ontology learning & population
  • Ontology matching

Applications

TESTI/BIBLIOGRAFIA

S. Abiteboul, I. Manolescu, F. Rigaux, M.C. Roust, P. Senellart. Web Data Management. Cambridge University Press. 2011

DOCENTI E COMMISSIONI

Commissione d'esame

VIVIANA MASCARDI (Presidente)

BARBARA CATANIA

GIOVANNA GUERRINI

LEZIONI

MODALITA' DIDATTICHE

Traditional: frontal lessons and laboratories

Orari delle lezioni

L'orario di tutti gli insegnamenti è consultabile su EasyAcademy.

ESAMI

MODALITA' D'ESAME

The exam will consist in a written part (traditional open/closed questions, exercises) plus an individual project (requiring about 1 man/week to be completed).

Each student will choose her/his most preferred project type and topic: as an example, a project might consist in writing a report on issues that have not been discussed in details during the course, or developing a SW component using one of the tools studied during the course, or experimenting with some new SW library/application and reporting the results of the experimentation to the teachers in a written document. In case of SW development, a short report accompanying the developed component is required. 

MODALITA' DI ACCERTAMENTO

The acquisition of the skills foreseen by this course are assessed via the written exam + the project which have been carefully designed to allow the teachers to verify whether a student is actually able to design and implement an ontology and to understand, present and discuss in a critical way the most challenging issues in ontology development and in Natural Language Processing.

Calendario appelli

Data Ora Luogo Tipologia Note
15/02/2019 09:00 GENOVA Esame su appuntamento
26/07/2019 09:00 GENOVA Esame su appuntamento
20/09/2019 09:00 GENOVA Esame su appuntamento
14/02/2020 09:00 GENOVA Esame su appuntamento