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

• Main Authors: Angermann, Heiko (Author), Ramzan, Naeem (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Subjects: Computer science.; Management information systems.; Data mining.; Artificial intelligence.; Pattern recognition.; Computer Science.; Pattern Recognition.; Data Mining and Knowledge Discovery.; Business Information Systems.; Artificial Intelligence (incl. Robotics).

This important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches. Different methods are investigated in accordance with the criteria of the Ontology Alignment Ev...

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.