Students of the Degree in Information Management and Digital Content

Thel students at the end of the course must know: Know the main digital classification and indexing systems Structure knowledge through taxonomies Description with metadata Linked Open Data and Linked Open, Resource Description Framework Standards: RDF and RDFs Management of descriptive logics for the creation and reasoning of ontologies To know the functions of the labels and collaborative actions. Relational and automatic semantic processing Use and apply the techniques, standards and other instruments used in the representation of electronic information for recovery by subject matter. Distinguish and evaluate the characteristics and uses of different content representation vocabularies (taxonomies, thesauri, ontologies and others) and choose the most appropriate for each type of information or electronic information services - Know and select the appropriate international standards for the creation of vocabularies. Develop controlled vocabularies: classification systems, alphabetical headings, functions, ensure consistency and updating and draft user manuals for use. Manage specific software ontologies, taxonomies and other vocabularies. Analyze, advise and train producers, users and customers of digital information services, in relation to the treatment and thematic recovery of their information. Use computer tools for the implementation, development and exploitation of semantic-based information systems that allow the processing and retrieval of human knowledge.

PART I: ORGANIZATION OF KNOWLEDGE Topic 1: Systematic knowledge organization on line systems 1.1. Concept of Digital Knowledge Organization Systems 1.2. Main Digital Knowledge Organization Systems 1.3. Structure UDC on line 1.3.1.Characteristics, structure and use of the CDU 1.3.2. Main classes 1.3.3.Auxiliary numbers Topic 2: UDC on line: 0, 1,2,3 2.1. Class 0 Generalities 2.2. Class 1 Philosophy 2.3. Class 2 Religion 2.4. Class 3 Social Sciences Topic 3: UDC on line:5, 6 3.1. Class 5 Pure Sciences 3.2. Class 6 Applied Sciences Topic 4:UDC on line :7, 8, 9 4.1. Class 7: Fine Arts, Games, Shows and Sports 4.2. Class 8: Language, Linguistics and Literature 4.3. Class 9: Geography, Biographies and History Topic 5: Alphabetic Knowledge Organization Systems: Subject Headings on line 5.1.1. Types, characteristics and use of subject headings on line 5.1.2. Subject Heading Lists on line 5.1.3. Forms of headings HEME 7. Thesauri 7.1. Concept and classes of Thesaurus 7.2. Composition of the Thesaurus 7.3. Rules for the presentation of descriptors 7.4. Methodology for the elaboration and maintenance of Thesauri 7.5. Interoperability. Use of thesauri in Open Access initiatives. 7.6. Thesaurus coding with SKOS. TOPIC 8: Formal Knowledge Representation Structures: Graphs 8.1. Concept and foundations of the Semantic Web. 8.2. The RDF model for encoding metadata. 8.3. Classes and properties. RDFS 8.4. Metadata and RDF (Dublin Core) 8.5. Network-properties models. TOPIC 9. Automatic classification 9.1. Vector representations of documents 9.2. 9.2. Automatic extraction of terms 9.3. Classification and clustering. 9.4. Analysis of concepts in texts, LDA.

1. TEACHING METHODOLOGY 1. 1. THEORETICAL CLASSES. In them will be exposed subjects related to the subject. All of them will be accompanied by clear examples. 1.2. PRACTICAL CLASSES. Practical exercises will be done, corrected in the classroom and also through a global classroom 1.3. FORUM OF DISCUSSIONS. A global classroom discussion forum will be held for each of the themes 2. TUTORING. 2. 1. INDIVIDUAL TUTORING. These are electronic tutorials and consultations, they can be carried out individually, students will be assisted to resolve doubts or issues related to the class, both in person and electronically through the Aula global platform. 2.2. COLLECTIVE TUTORING. Collective tutorials will be held monthly on the last day of classes of each month. The last 15 minutes of classes will be dedicated to collective tutoring. The results of the four collective monthly tutorials, both the topic to be discussed and their results, will be available in Aula global. 23. ELECTRONIC TUTORING. Students will be able to use the global classroom platform as well as email to ask as many questions as are necessary in the development of the course.