Educational guide
IDENTIFYING DATA							2024_25
Subject	SEMANTIC WEB MODELLING TECHNIQUES					Code	00709044
Study programme	0709 - GRADO EN INGENIERÍA INFORMÁTICA
Descriptors	Credit.	Type	Year	Period
	6	Optional	Fourth	Second
Language	Castellano
Prerequisites
Department	ING.ELECTR.DE SIST. Y AUTOMATI
Coordinador	BENITEZ ANDRADES , JOSE ALBERTO				E-mail	jbena@unileon.es igarr@unileon.es srubm@unileon.es
Lecturers	GARCÍA RODRÍGUEZ , ISAÍAS BENITEZ ANDRADES , JOSE ALBERTO RUBIO MARTIN , SERGIO
Web	http://agora.unileon.es
General description	The student will gain knowledge about the services that build up the Internet network, and will be able to configure and manage different kinds of servers implementing these services. Different architectures and paradigms for service providing will also be studied, including those ones related to mobile services
Tribunales de Revisión	Tribunal titular Cargo Departamento Profesor Presidente ING.ELECTR.DE SIST. Y AUTOMATI RODRIGUEZ SEDANO , FRANCISCO JESUS Secretario ING.ELECTR.DE SIST. Y AUTOMATI BLAZQUEZ QUINTANA , LUIS FELIPE Vocal ING.MECANICA,INFORMAT.AEROESP. FERNANDEZ DIAZ , RAMON ANGEL Tribunal suplente Cargo Departamento Profesor Presidente ING.ELECTR.DE SIST. Y AUTOMATI DIEZ DIEZ , ANGELA Secretario ING.ELECTR.DE SIST. Y AUTOMATI ALAIZ RODRIGUEZ , ROCIO Vocal ING.MECANICA,INFORMAT.AEROESP. ALIJA PEREZ , JOSE MANUEL

Competencias

Code
A18132
B5618
B5619
B5625
B5626
C4	CMECES4 That students can transmit information, ideas, problems and solutions to both a specialised and non-specialised audience
C5	CMECES5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy

Learning aims

	Competences
Know and know how to apply the techniques, methodologies and tools related to knowledge modelling and know how to design and build applications using these techniques for the representation, integration, search and retrieval of complex information, in particular in the Internet environment, web service and social networks.	A18132	B5618 B5619 B5625 B5626	C4 C5

Contents

Topic	Sub-topic
Topic I: REPRESENTATION OF INFORMATION IN DOCUMENTS	Sub-topic 1. Introduction to XML Historical introduction. History of XHTML. Sub-topic 2. XML CORE Introduction to XML. XML syntax. Well-formed documents. Sub-topic 3. DTD. Introduction. Valid documents. Element and attribute declarations. Sub-topic 4. XML Schema Introduction. Elements and attributes declarations. Sub-topic 5. TRANSFORMATION Introduction. Transformation with XSLT. Examples. Sub-topic 6. CONSULTATION Introduction. Query in documents with XQuery. XPath. Sub-topic 7. AUTOMATIC PROCESSING. Introduction. XML processing APIs. DOM API. SAX API. Variants.
Topic II: THE SEMANTIC WEB	Sub-topic 1. INTRODUCTION TO THE SEMANTIC WEB Introduction. From the web of documents to the web of data. Tagging. Organisation of tags. Sub-topic 2. RESOURCE DESCRIPTION FRAMEWORK - RDF and SEARCH WITH SPARQL Introduction. Triple format. SPARQL language. Sub-topic 3. Ontologies, RDFS. OWL.
Topic III: SOCIAL NETWORKS	Sub-topic 1. Social networks. Historical introduction. Sub-topic 2. Organisation of information in social networks. Sub-topic 3. Access to social network data through APIs. Twitter APIs. Sub-topic 4. Applications for the analysis and exploitation of social network data.

Planning

Methodologies  ::  Tests
	Class hours	Hours outside the classroom	Total hours
Personal tuition	2	0	2
Laboratory practicals	20	26	46
Problem solving, classroom exercises	4	4	8
Assignments	11.5	11.5	23
Lecture	26	39	65
Mixed tests	6	0	6
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies

Methodologies   ::  

	Description
Personal tuition	Time reserved for attending to and resolving students' doubts.
Laboratory practicals	Practical realisation of the contents dealt with in the lecture sessions.
Problem solving, classroom exercises	Formulation, analysis and resolution of exercises.
Assignments	Development of an assignment on a subject related to the course and proposed by the lecturer.
Lecture	Presentation of the contents of the subject.

Personalized attention

Personal tuition

Description Individual or group doubt solving and face-to-face tutoring. Tutorials will be arranged in advance with the teacher.

Assessment

	Description	Qualification
Assignments	The quality of the report and the presentation of the work, if any, will be assessed. The completion of the work is compulsory to pass the course.	30%
Laboratory practicals	The correct completion of the practical work in the laboratory will be assessed.	20%
Mixed tests	The contents corresponding to the lectures, laboratory practicals and problem solving in the classroom will be assessed by means of several mixed tests (short questions, multiple choice, development, etc.) that will be distributed throughout the course.	50%
Others	In order to pass by continuous assessment, a minimum of 4 out of 10 must be obtained in each test. Inadequate attitude in the classroom, laboratory or evaluation tests will be penalised with 20% of the final grade.
Other comments and second call

Sources of information

Access to Recommended Bibliography in the Catalog ULE

Basic	Matthew A. Russell y Mikhail Klassen , Mining the Social Web , O'Reilly Media , 2018 (3ª edición) Panos Alexopoulos , Semantic Modeling for Data , O'Reilly Media , 2020 Dean Allemang y James Hendler , Semantic Web for the Working Ontologist , Morgan Kaufmann, 2020 (3ª edición)
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