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Taxonomy Matching Using Background Knowledge - Linked Data, Semantic Web and Heterogeneous Repositories (Paperback, Softcover reprint of the original 1st ed. 2017) Loot Price: R1,153
Discovery Miles 11 530
Taxonomy Matching Using Background Knowledge - Linked Data, Semantic Web and Heterogeneous Repositories (Paperback, Softcover...

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

Heiko Angermann, Naeem Ramzan

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Loot Price R1,153 Discovery Miles 11 530 | Repayment Terms: R108 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: June 2019
First published: 2017
Authors: Heiko Angermann • Naeem Ramzan
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 103
Edition: Softcover reprint of the original 1st ed. 2017
ISBN-13: 978-3-319-89157-6
Categories: Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-319-89157-X
Barcode: 9783319891576

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