Description: Retrieval Models, Natural Language Processing, semantic analysis, metadata, linked data, information retrieval, positioning techniques, knowledge reuse, data mining
The course examines fundamental concepts about retrieval systems, introducing a variete of basic techniques. This includes the use of knowledge organization systems, positioning techniques, natural language processing techniques and resources, and evaluation by retrieval metrics.
Course content, 3 units:
Unit 1. Information retrival
- Lesson 1: Search basics in different web types: classic web, Semantic Web, Social Web, Data Web, Dark Web, Deep Web, question-answering web, and commercial web.
- Lesson 2: Search Engine Optimization (SEO/SEM)
- Lesson 3. Basic information retrieval models
- Lesson 4: Access, acquisition and cleansing of semantic web data and bigdata
- Lesson 5. Crawlers, scrapers and search engine arquitecture
Unit 2. Retrieval evaluation
- Lesson 6. Evaluation metrics for information retrieval systems
Unit 3. Advanced techniques for information retrieval systems
- Lesson 7. Natural Language Processing (NLP)
- Lesson 8. Information extraction techniques (IE)
- Lesson 9. Relevance feedback and query expansion