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

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

ISBN 10: 3319722085 / ISBN 13: 9783319722085

Verlag: Springer, 2018

Beschreibung

120 pages. 9.25x6.10x0.47 inches. In Stock.

Bestandsnummer des Verkäufers x-3319722085

Bibliografische Details

• Titel: Taxonomy Matching Using Background Knowledge: Linked Data, Semantic Web and Heterogeneous Repositories
• Verlag: Springer
• Erscheinungsjahr: 2018
• Sprache: Englisch
• ISBN-10: 3319722085
• ISBN-13: 9783319722085
• Einband: Hardcover
• Zustand: Brand New

Über diesen Titel

Inhaltsangabe

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

Über die Autorin bzw. den Autor

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.