Checking date: 02/06/2022

Course: 2022/2023

Semantic Web and Search Engines
Study: M. Applied Artificial Intelligence (378)

Coordinating teacher: SANCHEZ FERNANDEZ, LUIS

Department assigned to the subject: Department of Telematic Engineering

Type: Electives
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.
Skills and learning outcomes
Description of contents: programme
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. 2.3. OWL. 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. 4.3. Tools. 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
Lectures Practical lessons Laboratory sessions Tutoring Group work Student individual work Final exam
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Calendar of Continuous assessment
Basic Bibliography
  • Asunción Gómez-Pérez, Mariano Fernández-López, Óscar Corcho. Ontological Engineering-with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. Springer. 2004
  • Bing Liu. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Springer. 2011
  • Christian Bizer, Tom Heath, and Tim Berners-Lee. "Linked data: The story so far." in: (Amit Sheth, ed.) Semantic services, interoperability and web applications: emerging concepts. IGI Global. 2011
  • Ricardo Baeza-Yates, Berthier Ribeiro-Neto. Modern Information Retrieval. Pearson Education. 2011
  • Tim Berners-Lee, James Hendler, Ora Lassila. The semantic web. Scientific American, vol. 285, n. 5. . Springer Nature. 2001

The course syllabus may change due academic events or other reasons.