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

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

by Heiko Angermann, Naeem Ramzan

Hardcover(1st ed. 2017)

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Product Details

ISBN-13: 9783319722085
Publisher: Springer International Publishing
Publication date: 01/09/2018
Edition description: 1st ed. 2017
Pages: 103
Sales rank: 911,028
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

Dr. Heiko Angermannis 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 Ramzanis 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.

Table of Contents

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

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