Taxonomy Matching Using Background Knowledge

Linked Data, Semantic Web and Heterogeneous Repositories

AvHeiko Angermann,Naeem Ramzan

Häftad, Engelska, 2019

388 kr

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Beskrivning

This important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches.

Produktinformation

Utgivningsdatum:2019-06-06
Mått:155 x 235 x 7 mm
Vikt:195 g
Format:Häftad
Språk:Engelska
Antal sidor:103
Förlag:Springer International Publishing AG
ISBN:9783319891576

Utforska kategorier

Databaser inom Data och IT
Artificiell intelligens inom Data och IT
Affärsförhandlingar inom Ekonomi och Ledarskap

Mer om författaren

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.

Innehållsförteckning

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.