Markup Languages

To know the theories, principles and instruments of knowledge organization and information management related to linked data and the semantic web. To know and manage digital editing tools for the creation of linked data content To know the basics principles and languages of the programming and marking of web documents and modeling documents according to the principles of the semantic web To know the design and planning principles of a complex and fully operational interactive digital publication using semantic web technologies and principles As learning outcomes it is expected that students can: Use techniques, tools and methods of the semantic web Use creative design techniques to explore innovative solutions in the field of digital publishing through the use of linked data.

K1: Know the principles and values of democracy and sustainable development, in particular, respect for human rights and fundamental rights, gender equality and non-discrimination, the principles of universal accessibility and climate change. K3: Identify and analyze research methodologies and sources to develop academic work in the field of digital information management K4: Understand and apply the fundamental theories, instruments and techniques to manage information in digital media, covering its organization, control, communication and preservation S1: Plan and organize teamwork by making correct decisions based on available information and gathering data in digital environments. S2: Use the information by interpreting relevant data, avoiding plagiarism, and in accordance with the academic and professional conventions of the area of study, being able to evaluate the reliability and quality of said information. S3: Apply digital information management principles in different organizational environments, ensuring effective communication of processes and results to stakeholders. S5: Be able to design, manage, and operate with information through database systems, demonstrating skill in information retrieval and the use of query languages to meet complex information needs. S6: Be able to collect, process, cleanse and aggregate data by understanding the needs of users and organizations and how they need them. S7: Experiment with data visualization tools to represent information intuitively, properly presenting the results to different types of audiences. S8: Develop skills in the creation of digital content and multimedia editing by applying usability principles. S12: Be able to advise on the definition of strategy and project management regarding tracking, indexing, content structuring, link building, etc C1: Know and be able to manage interpersonal skills on initiative, responsibility, conflict resolution, negotiation, among others, which are required in the professional field. C2: Be able to apply knowledge in a professional way in solving specific digital information management problems using the tools and techniques learned in the academic field C3: Demonstrate ability in the development and execution of digital content projects autonomously working in multidisciplinary teams. C4: Capacity for continuous autonomous learning that facilitates adaptation to new situations and the updating of knowledge in the field of digital information.

UNITS 1. Introduction to the semantic web and linked data 2. Structuring data: RDF and RDF-S 3. SPARQL 4. Vocabularies 5. Ontologies and OWL 6. Linked data 1. Introduction to the semantic web and linked data         a. History and basic concepts         b. Semantic web applications 2. Structuring data: RDF and RDF-S         a. Introduction to RDF and RDF-S and differences with XML         b. The RDF format         c. Basic RDF-S         d. RDF- S schema and syntax e. RDF-S examples 3. SPARQL         a. Introduction to SPARQL: protocol         b. SPARQL: protocol and queries         c. SPARQL examples 4. Vocabularies         a. FOAF and VCARD         b. Dublin Core         c. Other vocabularies 5. Ontologies and OWL        a. Data modeling languages ¿¿and OWL        b. Ontologies: concepts, characteristics and functions        c. Tools for the creation of ontologies 6. Linked data       a. Basic concepts: What they are and what they are for       b. How to generate linked data       c. How to publish linked data

- Acquisition of theoretical knowledge (total 3 ECTS) through class attendance, study of learning materials prepared by the professor, tutorials, recommended articles, participation in forums and in-person or online tutorials. It is especially related to the GC2, SC10 and SC12 competences. - Acquisition of skills and abilities (total 3 ECTS) through different practical assumptions about queries using SPARQL, on modeling documents with RDF-s and with a final work where students must demonstrate how to generate linked data and uses of ontologies. On this part students will use the practical sessions and also homeworks with the teacher's subsequent control. Specially related to the SC7 and SC12. - The days and hours of the tutorship can be viewed in the space dedicated to the course in Aula Global, the learning platform. In addition to the hours and places officially set for the subject, students can request and arrange with the teacher other tutorials outside of that schedule, which may be in person or online.