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Books > Computing & IT > Applications of computing > Databases > Data mining

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Taxonomy Matching Using Background Knowledge - Linked Data, Semantic Web and Heterogeneous Repositories (Hardcover, 1st ed. 2017) Loot Price: R1,009
Discovery Miles 10 090
Taxonomy Matching Using Background Knowledge - Linked Data, Semantic Web and Heterogeneous Repositories (Hardcover, 1st ed....

Taxonomy Matching Using Background Knowledge - Linked Data, Semantic Web and Heterogeneous Repositories (Hardcover, 1st ed. 2017)

Heiko Angermann, Naeem Ramzan

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Loot Price R1,009 Discovery Miles 10 090 | Repayment Terms: R95 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: 2018
First published: 2017
Authors: Heiko Angermann • Naeem Ramzan
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 103
Edition: 1st ed. 2017
ISBN-13: 978-3-319-72208-5
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Applications of computing > Databases > Data mining
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LSN: 3-319-72208-5
Barcode: 9783319722085

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