Advanced Module: Semantic Technologies
• Reference: EMCL-A-ST
• Courses:
• DM - Data Modelling
• IDV - Interactive Data Visualisation
• Requirements:
To obtain the 12 crs of the module, students should obtain 6 crs in each of the two courses.
• Description:
The aim of the module is to make the students familiar with the use of semantic based technologies for building information systems. In particular the module is focused on the so called Semantic Web; by presenting technologies and applications centred on Semantic Web technologies. The module will focus on the theoretical background of various languages on the Semantic Web such as RDF, SPARQL, OWL, and F-Logic (Programming), and the practical use of these languages on the Semantic Web. In addition, the course will focus on important application areas for Semantic Web technology, namely Web Services and Life Sciences.
After the completion of this course, students will be familiar with technologies and formalisms which underpins the Semantic Web. Moreover, they will able to apply them in order to build semantically rich applications. In addition, students will have the possibility to complement their knowledge of Semantic Web by studying semantic based approaches to closely related research areas (e.g. Computational Linguistics).

-------------------------------------
DM - Data Modelling
• Reference: 11559
• Semester: Spring
• Web Page:
• Lecturers: Carlos Damásio
• Description:

This course addresses data modelling and query languages for semantically enriched data, big data and/or open data applications in the Web. The core of the course will cover graph models, in particular those allowing the representation of relationships between resources in the Web.
Besides representing interconnections among data, it is necessary to model and explore multidimensional data for online analytical processing, in particular for representing time and space dimensions for understanding how data evolves and moves.

-------------------------------------
IDV - Interactive Data Visualization
• Reference: 11565
• Semester: Autumn
• Web Page:
• Lecturers: João Moura Pires and Nuno Correia
• Description:
This course is a curricular unit of the set of specialisation units offered to the students of 4th or 5th year of the Local MAsters in Computer Science. Interactive Data Visualisation (IDV) presents the theoretical basis and practices for the design, use and evaluation of modern systems for Interactive Data Visualisation.