1 / 2

Introduction to Logics for Data and Knowledge Representation Course

Join our course on Logics for Data and Knowledge Representation, instructed by experts Fausto Giunchiglia, Vincenzo Maltese, and Biswanath Dutta. The course aims to equip students with practical skills in applying various logics, including Propositional Logic (PL), First-Order Logic (FOL), Description Logic (DL), RDF, OWL, Modal Logic (ML), Contextual Logic (Cxt-Logic), and C-OWL. Prerequisites include a pass in mathematical logic. Assessments consist of a written exam, project (~100 hours), and a thesis (~6 months). Classes meet on Tuesdays and Fridays from 14:30-16:30.

paytah
Télécharger la présentation

Introduction to Logics for Data and Knowledge Representation Course

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Logics for Data and Knowledge Representation Course introduction

  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: http://dit.unitn.it/~ldkr/2011/

More Related