Background
In
recent years, one of the major challenges in Environmental and Earth
Sciences has been managing and searching larger volumes of data,
collected across multiple disciplines. Many different standards,
approaches, and tools have been developed to support the Data Lifecycle
from Data Acquisition to Data Curation, Data Publishing, Data Processing
and Data Use. In particular, modern semantic technologies provide a
promising way to properly describe and interrelate different data
sources in ways that reduce barriers to data discovery, integration, and
exchange among biodiversity and ecosystem resources and
researchers. This course is built as a five-day intensive school
providing the knowledge on how to create semantic artifacts for a
specific domain and use them to annotate and analyse data in a Virtual
Research Environment.
It is expected that, by the end of the course, participants will be better positioned to:
1. Compare the most important approaches to Semantic Web and Ontology Engineering, presenting their main characteristics
2. Discuss the main steps of the design and development of ontologies and semantic artifacts repositories
3. Examine the most critical elements and tools for designing thesauri
4. Demonstrate how to annotate and query your data in a Virtual Research Environment
5. Create your Virtual Research Environment, using tools such as NaaVRE
Training Sessions:
- Day 1 – Welcome
- Day 2 – Semantic Web and Ontology Engineering (Theory and Practice)
- Day 3 – Design Thesauri and Annotate your data (Theory and Practice)
- Day 4 – AI and Ontologies
- Day 5 – Closing
Target Audience
The School is mainly aimed at IT architects, Research Infrastructure
(RI) service developers and user support staff, and RI staff.