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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: R1,109
Discovery Miles 11 090
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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)
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Total price: R1,129
Discovery Miles: 11 290
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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.
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