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Knowledge Analysis & Management


Tonella P.

Course director


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.


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.

Teaching mode

In presence

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.