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Knowledge Analysis & Management

Descrizione

COURSE OBJECTIVES

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.

 

COURSE DESCRIPTION

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

 

LEARNING METHODS

Students will be involved in practical exercises and will experiment with the presented techniques by applying them to the course projects.

 

EXAMINATION INFORMATION
Optional written mid-term exam; final oral exam; optional homework; two mandatory projects.

 

RECOMMENDED COURSES

  • Data Design & Modeling
  • Information Modeling & Analysis

 

REFERENCES
Lecture slides and lecture notes, available on iCorsi

Persone

 

Tonella P.

Docente titolare del corso

Humbatova N.

Assistente

Informazioni aggiuntive

Semestre
Autunnale
Anno accademico
2021-2022
ECTS
6
Lingua
Inglese
Offerta formativa
Master of Science in Software & Data Engineering, Foundation course, 2° anno
Dottorato in Scienze informatiche, Corso a scelta, Corso, 1° anno (4 ECTS)
Dottorato in Scienze informatiche, Corso a scelta, Corso, 2° anno (4 ECTS)