In the last decade, ontologies have received much attention within computer science and related disciplines, most often as the semantic web. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications discusses ontologies for the semantic web, as well as knowledge management, information retrieval, text clustering and classification, as well as natural language processing.
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications is structured for research scientists and practitioners in industry. This book is also suitable for graduate-level students in computer science.
€96.29
Inhoudsopgave
Preliminaries.- Ontologies.- Ontology Learning from Text.- Basics.- Datasets.- Methods and Applications.- Concept Hierarchy Induction.- Learning Attributes and Relations.- Population.- Applications.- Conclusion.- Contribution and Outlook.- Concluding Remarks.Koop dit e-boek en ontvang er nog 1 GRATIS!
Taal Engels ● Formaat PDF ● Pagina’s 347 ● ISBN 9780387392523 ● Bestandsgrootte 19.4 MB ● Uitgeverij Springer US ● Stad NY ● Land US ● Gepubliceerd 2006 ● Downloadbare 24 maanden ● Valuta EUR ● ID 2145101 ● Kopieerbeveiliging Sociale DRM
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