Type 2

3. Hierarchical representation of a web page where HTML elements are organized as nodes.
6. IFTHEN rule used to represent expert knowledge.
7. Automated extraction of structured information from websites.
13. Repository of facts, rules and expert knowledge used by an expert system.
14. European regulation that classifies and controls AI systems according to their risk level (Acronym).
15. Analysis of hyperlinks and web graph structure to identify relationships and relevance.
16. Systematic unfairness in AI outputs caused by data, design or assumptions.
17. AI approach based on learned numerical patterns, such as neural networks or embeddings.
18. Transformation of crisp input values into fuzzy sets.
19. Systematic browsing of web pages by following links, usually for indexing.
21. Scraping of content generated by JavaScript, often requiring browser simulation.
22. Recommendation method based on similar users or similar behaviors.

1. Logic approach that represents vague concepts using degrees instead of only true or false.
2. Instruction and context given to a language model to generate an answer.
4. Technique used to find products frequently purchased together.
5. Measure of how often an association rule is true.
8. Degree to which two texts or items have similar meaning.
9. Recommendation system that combines multiple recommendation approaches.
10. Itemset that appears often enough to satisfy a minimum support threshold.
11. Large Language Model capable of understanding and generating text (Acronym)
12. Function that assigns a degree of membership to each value.
20. Challenge used to distinguish humans from automated bots.