EITN01 Web Intelligence and Information Retrieval
The goal of this course is to increase the understanding
of methods for information retrieval, structuring and text mining,
specially from Internet based sources.
It gives the necessary background and methods for the course EITN05 Semantic Web Programming.
Information Retrieval: basic methods for ranking and searching, vector models, tf-idf relevance ranking. Information Retrieval systems.
Query Language: Different query languages for search in structured databases are presented.
Indexing, searching and relevance ranking of search results.
Exemplified with the aid of searches in structured databases (SRU/CQL).
Computational Intelligence and Feature extraction: Methods for Computational Intelligence classification and feature extraction (Latent Semantic Analysis, LSI, Support Vector Machines (SVM),
Recommendation systems, etc) are presented and experimented with. Using extracted features to
implement topic classification of text documents.
Performance: Performance indicators like precision and recall.