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Logics for Data and Knowledge Representation

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Presentation on theme: "Logics for Data and Knowledge Representation"— Presentation transcript:

1 Logics for Data and Knowledge Representation
Course introduction 1

2 Forehead Staff: Fausto Giunchiglia, Vincenzo Maltese, Biswanath Dutta
Objective: Learn how to use logics in practice Contents: PL, FOL, DL, RDF, OWL, ML, Cxt-Logic, C-OWL Prerequisites: Must have passed mathematical logic Exam policy & grading: Written exam + project (~100 hours) + thesis (~6 months) Scheduling: Tuesday (A107) and Friday (A205) 14:30-16:30 Reception times: On appointment Course website:


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