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99566 - DIGITALIZATION OF ENGINEERING METHODOLOGIES AND DATA M

Academic Year 2023/2024

                
                        Docente:
                        Emanuele Ghedini
                    
                        Credits:
                        6
                    
                        SSD:
                        ING-IND/18
                    
                        Language:
                        English
                    
                        Teaching Mode:
                        Traditional lectures
                        
                            Campus:
                            Bologna
                        
                            Corso:
                            Second cycle degree programme (LM) in
                            Energy Engineering (cod. 0935)

                            Online Lessons
                        
                            Teaching resources on Virtuale
                        
                                    Course Timetable
                                
from Sep 20, 2023 to Dec 20, 2023

Learning outcomes

At the end of the course, the student possesses the basics of knowledge representation and management (e.g. data, methods) using digital technologies, within the field of industrial engineering. The student is able to define, setup or evaluate approaches to the solution of engineering problems through their logical representation, the combination of the required solution methodologies and the use of digital technologies.

Course contents

Introduction to the topics of knowledge representation and data management
Knowledge graph and semantic technologies for knowledge representation in RDFS and OWL
Introduction to ontologies, their languages and tools for their development and use
Ontologies for applied sciences: from top level (e.g. EMMO, DOLCE and BFO) to domain level (e.g. CHEBI, QUDT).
Standards for the representation of concepts and methodologies in engineering, e.g. numerical simulation, experimental characterization, measurement systems, life cycle assessment, conformity assessment, manufacturing.
Languages and formats for sharing and documenting linked data (JSON-LD)
Data storage technologies and their relationships.
Introduction to the concept of knowledge base and federated data management.
Practical exercise with the creation of an ontology for a particular use scenario, setup of a knowledge base and metadata schema for the representation of a use case and the storage of data connected to it.

During the lessons, students will be encouraged to experiment on their portable devices under the guidance of the teacher the specific issues addressed in the individual themes, using freely available software.

Readings/Bibliography

L. Floridi, Information: a Very Short Introduction", Oxford University Press (2010)

D. Allemang, J. Hendler, "Semantic Web for the Working Ontologist", 2nd Edition Morgan Kaufmann Publishers (2011)

GraphDB 10.3.0 Documentation, https://graphdb.ontotext.com/documentation/10.3/

Dispense del Docente.

Teaching methods

Teaching in classrom.

Excercises on student's portable devices with freely available software.

Assessment methods

Oral examination and final exercise (single or group).

Teaching tools

Material available on Virtuale

Office hours

See the website of Emanuele Ghedini