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Taxonomy Matching Using Background Knowledge

Linked Data, Semantic Web and Heterogeneous Repositories

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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. weiterlesen

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-319-72209-2 / 978-3319722092 / 9783319722092

Verlag: Springer International Publishing

Erscheinungsdatum: 08.01.2018

Seiten: 103

Autor(en): Naeem Ramzan, Heiko Angermann

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