Knowledge Analysis & Management
Persone
Docente titolare del corso
Assistente
Descrizione
We will go through text analysis techniques such as part of speech tagging, dependency parsing, text summarization, sentiment analysis, and we will consider knowledge query and representation technologies, such as SPARQL, RDF and OWL.
Obiettivi
Knowledge extraction and representation are key enablers for data comprehension and decision making. This course will cover techniques for the extraction of knowledge from natural language documents and for the representation of knowledge as ontologies and semantic webs.
Modalità di insegnamento
In presenza
Impostazione pedagogico-didattica
Students will be involved in practical exercises and will experiment with the presented techniques by applying them to the course projects.
Modalità d’esame
Optional written mid-term exam; final oral exam; optional homework; two mandatory projects.
Offerta formativa
- Master of Science in Artificial Intelligence, Lezione, A scelta, 2° anno
- Master of Science in Artificial Intelligence, Lezione, A scelta, 1° anno
- Master of Science in Software & Data Engineering, Lezione, 2° anno
- Dottorato in Scienze informatiche, Lezione, A scelta, 1° anno (4 ECTS)
