Department assigned to the subject: Department of Telematic Engineering
ECTS Credits: 3.0 ECTS
At the end of this subject students must know what are the Semantic Web and Linked Data, and which are the key technologies, concepts, algorithms and standards in which the Semantic Web, Linked Data, and Web search engines are based.
1. Introduction to the Semantic Web and Linked Data.
1.1. Review of Web architecture.
1.2. Semantic Web fundamentals.
1.3. Evolution of the Semantic Web.
1.4. Linked Data.
2. Representation languages.
2.1. Introduction to representation languages.
2.2. RDF/RDF Schema.
2.4. Other languages.
3. Knowledge modeling.
3.1. Ontologies. Ontology engineering.
3.2. Knowledge graphs.
4. Knowledge exploitation.
4.1. SPARQL query language.
4.2. Logical reasoning with RDF and OWL.
5. Semantic annotation
5.1. Types of annotations.
5.2. Techniques and tools.
6. Web Search Engines.
6.1. Fundamentals and history.
6.2. Vector model for Information Retrieval.
6.3. Natural Language Processing techniques for Information Retrieval.
6.4. Inverted indexes.
6.5. Link Mining.
6.6. Semantic technology for search engines.
7. Implementation of Information Retrieval Systems.
7.1. Customary data bases.
7.2. NoSQL solutions.
7.3. Graph databases.
7.4. Vector databases.
Learning activities and methodology
Student individual work
% end-of-term-examination 60
% of continuous assessment (assigments, laboratory, practicals...) 40