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Data mining and knowledge
IF28

Description
Objectives Companies, public services and associations have accumulated vast quantities of data. Techniques and methods derived in particular from data mining and the Semantic Web can be used to extract useful knowledge for action. Programme -Identify areas in a human activity where the transmission of knowledge and know-how can be improved. -Identify sources that can be used (data and texts). -choose data and text mining processes that produce interpretable results -modelling singular (RDF) and universal (RDFS, OWL) propositions in the form of a graph, and using them in queries (SPARQL) -support user modelling (entity-attribute-value model, facets, thesaurus, points of view, etc.) -testing knowledge models and managing their development

ECTS credits
6

Teaching Language

Exam Language

Support Materials Language

Basic Learning Outcomes

Managing Entity (faculty)