Schema della sezione

  • Description

    Minimizza tutto Espandi tutto

    in-person

    Ecotekne University Campus, Via Lecce-Monteroni, 73100Monteroni di Lecce LE

    Building A, Seminar room, I floor (9-10-11)

    Building A, Seminar room, ground floor (12-13)

    Classroom location

    (hold down CTRL+left mouse button and click the Google Maps link)

    https://maps.app.goo.gl/R47PY17cBwZA4fXV9

    June 9, 2025 - 

     June 10, 2025 - 

    June 11, 2025 - 

    June 12, 2025 - 

    June 13, 2025 - 

    25(in-person)

    Martina Pulieri (University of Salento), Mariantonietta La Marra (University of Salento)

    This course introduces researchers and data professionals to key tools and methodologies for semantic annotation and data analysis, with a strong emphasis on the FAIR principles—Findability, Accessibility, Interoperability, and Reusability. Participants will explore how semantic technologies (such as ontologies, metadata standards, and knowledge graphs) can enhance data discoverability and interoperability, while also gaining hands-on experience with data analysis tools to extract meaningful insights. Through practical sessions and real-world examples, the course empowers learners to manage, enrich, and analyse data in a way that aligns with FAIR and open science best practices.

  • Training Modules

    Module 1: Introduction to Semantic Technologies

    ·       Overview of the FAIR principles (Findable, Accessible, Interoperable, Reusable).

    ·       Introduction to semantics: metadata, controlled vocabularies, ontologies.

    ·       Key standards and technologies: RDF, OWL, SKOS.

    ·       Role of semantics in making data FAIR.

    Module 2: Tools for semantic artefacts management

    ·       Semantic artefacts lifecycle.

    ·       Tools for semantic artefacts editing and creation.

    ·       Publishing ontologies and thesauri: Semantic artefacts catalogue.

    Module 3: Hands-on session

    ·       Group project: create a thesaurus for data annotation task.

    Module 4: Introduction to the DataLabs platform

    ·       Overview of the platform, web interface and publication workflow

    ·       Integration with other LifeWatch Italy platforms: Data Portal and Metadata Catalogue

    ·       Creating and documenting a new project

    Module 5: Hands-on Projects

    •       Collaborative coding in the JupyterLab environment

    •       Case studies

    •       Project validation and publication process

    Module: 6: Web service deployment and wrap-up

    •       Deploying a project as a web service

    •       Feedback and discussion

    •       Recap and resources for continued learning

    FINAL EXAM

  • Module 1: Introduction to Semantic Technologies

  • Module 2: Tools for semantic artefacts management

  • Module 3: Hands-on session

  • Module 4: Introduction to the DataLabs platform

  • Module 5: Hands-on Projects

  • Module: 6: Web service deployment and wrap-up