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

Language: English

Published by Springer, Berlin, Springer, 2018

3319722085 / 9783319722085

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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.Topics and features: discusses the fundamentals and the latest developments in taxonomy matching, including the related fields of ontology matching and schema matching; reviews next-generation matching strategies, matching algorithms, matching systems, and OAEI campaigns, as well as alternative evaluations; examines how the latest techniques make use of different sources of background knowledge to enable precise matching between repositories; describes the theoretical background, state-of-the-art research, and practical real-world applications; covers the fields of dynamic taxonomies, personalized directories, catalog segmentation, and recommender systems.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.

Seller Inventory # 9783319722085

Title
Taxonomy Matching Using Background Knowledge : Linked Data, Semantic Web and Heterogeneous Repositories
Author
Heiko Angermann
Publisher
Springer, Berlin, Springer
Publication year
2018
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3319722085
ISBN 13
9783319722085
Item weight
297 grams
Dimensions
245x171x13 mm

AHA-BUCH GmbH

Einbeck, Germany

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