Taxonomy Matching Using Background Knowledge: Linked Data, Semantic Web and Heterogeneous Repositories

Angermann, Heiko (Author)/ Ramzan, Naeem (Author)

ISBN 10: 3319722085 / ISBN 13: 9783319722085

Edité par Springer, 2018

A propos de cet article

120 pages. 9.25x6.10x0.47 inches. In Stock. N° de réf. du vendeur x-3319722085

Détails bibliographiques

Titre : Taxonomy Matching Using Background Knowledge...

Éditeur : Springer

Date d'édition : 2018

Reliure : Hardcover

Etat : Brand New

A propos de ce titre

Synopsis :

Part I: Introduction to Taxonomy Matching

Background Taxonomy Matching

Background of Taxonomic Heterogeneity

Part II: Recent Matching Techniques, Algorithms, Systems, Evaluations, and Datasets

Matching Techniques, Algorithms, and Systems

Matching Evaluations and Datasets

Part III: Taxonomy Heterogeneity Applications

Related Areas

Part IV: Conclusions

Conclusions

À propos de l?auteur:

Dr. Heiko Angermann is an e-commerce, enterprise content management, and omni/multi-channel consultant, and the Head of Project Management at an e-commerce consulting house located in Nuremberg, Germany.

Prof. Naeem Ramzan is a full Professor of Computing Engineering in the School of Engineering and Computing at the University of West of Scotland, Paisley, UK. His other publications include the successful Springer title Social Media Retrieval.