CODE 80459 ACADEMIC YEAR 2022/2023 CREDITS 6 cfu anno 2 COMPUTER ENGINEERING 11160 (LM-32) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/05 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 1° Semester TEACHING MATERIALS AULAWEB OVERVIEW The Semantic Web and Linked Data technologies are the fulcrum of this teaching: starting from XML and RDF up to the conceptual representations in OWL. These technologies, and the associated methodologies, will be used in the design and implementation of "smart" user interfaces, which exploit ontologies and open and linked data. Finally, software tools and use cases will be presented to compare Semantic Web and Machine Learning in the management of datasets and complex systems. AIMS AND CONTENT LEARNING OUTCOMES In this course, you will learn the fundamentals of Semantic Web technologies. You will learn how to collect information form linked data and metadata to represent knowledge an build knowledge bases, and how to access and benefit from semantic web technologies applied to smart applications in a H2020 perspective. AIMS AND LEARNING OUTCOMES At the end of the course the student will acquire skills and competencies related to design and implementation of “smart” apps and services based on semantic technologies. TEACHING METHODS Lectures and thematic seminars will be provided during the fall semester. Online activities will be delivered through UniGe digital platforms to permit a continuous assessment of students' competencies. SYLLABUS/CONTENT Introduction to Semantic Web as Web of Data: XML-based technologies, pros&cons, software tools for open and linked data interchange. Semantic Languages for description, annotation, query and knowledge representation: RDF, RDF-S, SPARQL, OWL. Ontologies and metadata for the Semantic Web: annotation of digital resources through standard metadata (Dublin Core, Linked Data), ontology design for semantic search engines and reasoners. Design and implementation of smart applications and semantic web services. Deep Learning and Semantic Web with large dataset. Linked Data Programming and Semantic Knowledge Mining RECOMMENDED READING/BIBLIOGRAPHY Liyang Yu, A Developer's Guide to the Semantic Web, 2nd Edition, Springer, 2014 M. Horridge, Protégé OWL Tutorial, v. 1.3, 2011, freely available at http://owl.cs.manchester.ac.uk/publications/talks-and-tutorials/protg-owl-tutorial/ TEACHERS AND EXAM BOARD GIANNI VIARDO VERCELLI Ricevimento: In attendance: by appointment via e-mail at the DIBRIS (office TA.10, Villa Bonino - Mezzanine floor) in Viale Francesco Causa 13, Genoa or at the 3DLabFactory (room T.008, Palazzina Lagorio, ground floor), Campus di Savona, Via A. Magliotto 2, Savona Remote call: by appointment via e-mail at gianni.vercelli@unige.it During the semester the teacher will be available at the end of the planned activities, always by appointment, except impediments. Exam Board GIANNI VIARDO VERCELLI (President) ANTONIO BOCCALATTE ILARIA TORRE GIOVANNI ADORNI (President Substitute) LESSONS LESSONS START https://courses.unige.it/11160/p/students-timetable Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Oral presentation of the assigned final project and evaluation of intermediate online activities. ASSESSMENT METHODS The exam grading is based on the mean average between scores of continuous evaluation of online activities carried out during the semester (50%) and the oral presentation of the assigned final project on course topics (50%). Exam schedule Data appello Orario Luogo Degree type Note 11/01/2023 14:30 GENOVA Scritto 02/02/2023 14:30 GENOVA Scritto 06/06/2023 14:30 GENOVA Scritto 12/07/2023 14:30 GENOVA Scritto 05/09/2023 14:30 GENOVA Scritto FURTHER INFORMATION Students with disabilities or learning disorders are allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the Delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities, prof. Francesco Curatelli. Students are invited to contact the teacher and copy the Delegate (francesco.curatelli@unige.it).
