Engineering in Computer Science and Artificial Intelligence

General objectives: To know the main languages of the current semantic technologies, in particular, the families of class-based and rule-based knowledge representaton formalisms, and the main reasoning techniques for such formalisms. To know the standard semantic technologies based on the above knowledge representation formalisms, in particular the RDF language and the OWL language, with the goal of designing and managing an ontological knowledge base. To know the basic elements of the representation of actions and reasoning about actions. Specific objectives: Knowledge and understanding: Description Logics (the main class-based knoeledge representation formalisms) and the main rule-based languages, in particular Datalog and some of its extensions. The main Web standards for semantic technologies, in particular the RDF, SPARQL and OWL languages. Applying knowledge and understanding: To be able to design a knowledge base, choosing the most appropriate formalism and technologies for the given application context. Making judgements: To be able to evaluate the main semantic aspects of a knowledge base and of a knowledge-based application. To be able to choose the best available technology for processing a knowledge base. Communication skills: The practical activities and the exercises allow the student to be able to communicate and share the requirements of an application requiring the construction and management of a knowledge base and/or the usage of the standard semantic technologies. Learning skills: Besides the classical learning skills provided by the theoretical study of the teaching materials, the practical activities stimulate the student to autonomously deepen her/his knowledge about some of the course topics, to teamwork, and to the practical application of the notions and techniques learned during the course.