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Knowledge Analysis & Management

Description

Knowledge Analysis and Management is a broad field that covers the entire lifecycle of knowledge: from identifying, representing, capturing, structuring and sharing valuable intellectual assets. Students will learn to represent knowledge with natural and formal languages, access and integrate knowledge sources on the Web, classify and use knowledge for decision making, transfer and disseminate knowledge within and across organizations. The course will cover the following topics: - content processing: text analysis, NLP, lexical models, language models - topic modeling, summarization, semi-structured text models - opinion mining and sentiment analysis - knowledge extraction (NER, ...) - formal languages and reasoning - knowledge bases, ontologies and semantics: RDF, OWL, SPARQL - representation learning, graph analysis - interoperability and knowledge integration issues

 

 

RECOMMENDED COURSES

  • Data Design & Modeling, Information Modeling & Analysis

People

 

Brambilla M.

Course director

Additional information

Semester
Fall
Academic year
2018-2019
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, 2nd year (4 ECTS)

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