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Knowledge Analysis & Management

Description

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

People

 

Tonella P.

Course director

Humbatova N.

Assistant

Additional information

Semester
Fall
Academic year
2019-2020
ECTS
6
Language
English
Education
Master of Science in Software & Data Engineering, Core course, Lecture, 2nd year

PhD programme of the Faculty of Informatics, Elective course, Lecture, 2nd year (4 ECTS)

PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st year (4 ECTS)