Soft Computing in Web Information Retrieval

Models and Applications

332 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Studies in Fuzziness and Soft Computing
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI)
• ISBN: 9783642068546
• Sprache: Englisch
• Erscheinungsdatum: 20.11.2010
• Größe: 235 x 155 mm
• Verlag: Springer Berlin Heidelberg
• Herausgegeben von: Fabio Crestani, Gabriella Pasi, Enrique Herrera-Viedma