The Data Semantics course provides an introduction to the most challenging issues in knowledge and data representation and semantics, with particular emphasis on languages and technologies for the semantic web.
Students will be provided with a sound grounding of scientific, methodological and technological fundamentals in ontologies and semantic annotations of data. Students will learn key elements of modeling, representation and exploitance of data semantics in the context of Semantic Web and for natural language processing. Relevant research issues and recent applications will be analyzed and discussed.
Traditional: frontal lessons and laboratories
Introduction: Ontology engineering Ontology learning & population Ontology matching
Tools: Protégé (theory) Protégé (labo) Jena/OWL API (theory) Jena/OWL API (labo)
Natural Language Processing: Tools and resources for NLP Multilinguality issues Open Research problems (negation, irony detection, ...)
Applications
Ricevimento: Appointment by email
Ricevimento: Su appuntamento, via email. Stanza: Valle Puggia – 327
VIVIANA MASCARDI (Presidente)
BARBARA CATANIA
GIOVANNA GUERRINI
The exam modalities will be described on the AulaWeb module of the course, and clearly presented to the students during the first lesson
