Information Retrieval for Text Bases
Name: Information Retrieval for Text Bases
Code: INF13259M
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Informatics
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Sustainable Development Goals
Learning Goals
To be able to identify the main problems in text information retrieval systems and the possible solutions.
To be able to analyse information retrieval systems regarding:
- knowledge representation, search and indexing algorithms, information extraction, document clustering, document classification, cooperativity.
To be able to evaluate the existent information retrieval systems.
To have the theoretical and practical knowledge about: text indexing, boolean, vector and probabilistic models, ordering the results, evaluation.
To be able to analyse information retrieval systems regarding:
- knowledge representation, search and indexing algorithms, information extraction, document clustering, document classification, cooperativity.
To be able to evaluate the existent information retrieval systems.
To have the theoretical and practical knowledge about: text indexing, boolean, vector and probabilistic models, ordering the results, evaluation.
Contents
1. Introduction; main concepts and problems
2. Boolean, vectorial, and probabilistic models
3. Indexing, lemmatization, stop-words
4. Ontologies
5. Query Languages
6. Evaluation
7. Searching the web
8. Semantic web
9. Text classification
10. Text clustering
11. Information extraction
12. Question-Answering systems
2. Boolean, vectorial, and probabilistic models
3. Indexing, lemmatization, stop-words
4. Ontologies
5. Query Languages
6. Evaluation
7. Searching the web
8. Semantic web
9. Text classification
10. Text clustering
11. Information extraction
12. Question-Answering systems
Teaching Methods
- Theoretical individual report about a specific topic (paper format) - 30%
- Practical work (groups of 2 students) - 70%
- Practical work (groups of 2 students) - 70%
Accreditations and Certifications
