Taxonomy Matching Using Background Knowledge | Linked Data, Semantic Web and Heterogeneous Repositories
Heiko Angermann (u. a.)
ISBN 10: 331989157X ISBN 13: 9783319891576
Verlag: Springer, 2019
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Beschreibung
Beschreibung:
Taxonomy Matching Using Background Knowledge | Linked Data, Semantic Web and Heterogeneous Repositories | Heiko Angermann (u. a.) | Taschenbuch | xiv | Englisch | 2019 | Springer | EAN 9783319891576 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 115113308
Inhaltsangabe:
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.
Über die Autorin bzw. den Autor:
Dr. Heiko Angermann is an e-commerce, enterprise content management, and omni/multi-channel consultant, and the Head of Project Management at an e-commerce consulting house located in Nuremberg, Germany.
Prof. Naeem Ramzan is a full Professor of Computing Engineering in the School of Engineering and Computing at the University of West of Scotland, Paisley, UK. His other publications include the successful Springer title Social Media Retrieval.
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Bibliografische Details
Titel: Taxonomy Matching Using Background Knowledge...
Verlag: Springer
Erscheinungsdatum: 2019
Einband: Taschenbuch
Zustand: Neu