Taxonomy Matching Using Background Knowledge, Softcover reprint of the original 1st ed. 2017 Linked Data, Semantic Web and Heterogeneous Repositories

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 Evaluation Initiative (OAEI). The text also highlights promising developments and innovative guidelines, to further motivate researchers and practitioners in the field.

This stimulating book is an essential reference for practitioners engaged in data science and business intelligence, and for researchers specializing in taxonomy matching and semantic similarity assessment. The work is also suitable as a supplementary text for advanced undergraduate and postgraduate courses on information and metadata management.

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

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.

Provides in-depth coverage of the state of the art in taxonomy matching, and the related fields of ontology matching and schema matching

Reviews matching strategies, matching algorithms, matching systems and OAEI campaigns, in addition to alternative evaluations

Describes issues of relevance to both researchers and practitioners