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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Enxeñaría Informática (plan 2012) |
 Subjects |
| Information Retrieval and the Semantic Web |
| Methodologies |
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| Identifying Data | 2020/21 | |||||||||||||
| Subject | Information Retrieval and the Semantic Web | Code | 614502010 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 6 | ||||||||||
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| Methodologies | Description |
| Workbook | Readings in order to consolidate and complement the knowledge and skills acquired. |
| Laboratory practice | Labs assignments dealing with development platforms in commercial use (Lucene, Terrier, Nutch, Jena, Protege, Pellet) |
| Problem solving | Problems and short questions to consolidate the contents presented in the master classes. |
| Mixed objective/subjective test | Test about the fundamental contents of the subject. |
| Guest lecture / keynote speech | The student will attend to the lectures given by the teacher about the different techniques, models and algorithms related to Information Retrieval and the Wemantic Web. The teacher will employ different levels of abstraction-detail and will guide the student in the fundamental and complementary readings. |
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