Soft Computing in Web Information Retrieval: Models and Applications (Hardcover, 2006)

Document Classification.- A Dynamic Hierarchical Fuzzy Clustering Algorithm for Information Filtering.- A Theoretical Framework for Web Categorization in Hierarchical Directories using Bayesian Networks.- Personalized Knowledge Models Using RDF-Based Fuzzy Classification.- A Genetic Programming Approach for Combining Structural and Citation-Based Evidence for Text Classification in Web Digital Libraries.- Semantic Web.- Adding a Trust Layer to Semantic Web Metadata.- A Fuzzy Linguistic Multi-agent Model Based on Semantic Web Technologies and User Profiles.- Fuzzy Concept-Based Models in Information Browsers.- Evaluation of Term-based Queries using Possibilistic Ontologies.- Web Information Retrieval.- Formal Theory of Connectionist Web Retrieval.- Semi-fuzzy Quantifiers for Information Retrieval.- Helping Users in Web Information Retrieval Via Fuzzy Association Rules.- Combining Soft and Hard Techniques for the Analysis of Batch Retrieval Tasks.- Web Application.- Search Advertising.- Information Loss in Continuous Hybrid Microdata: Subdomain-Level Probabilistic Measures.- Access to a Large Dictionary of Spanish Synonyms: A Tool for Fuzzy Information Retrieval.