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

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

Bibliographic Details
Main Authors: Angermann, Heiko. (Author), Ramzan, Naeem. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Subjects:
Data mining.
Pattern recognition.
Management information systems.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Pattern Recognition.
Business Information Systems.
Artificial Intelligence.
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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