| 书目名称 | Taxonomy Matching Using Background Knowledge | | 副标题 | Linked Data, Semanti | | 编辑 | Heiko Angermann,Naeem Ramzan | | 视频video | | | 概述 | Provides in-depth coverage of the state of the art in taxonomy matching, and the related fields of ontology matching and schema matching.Reviews matching strategies, matching algorithms, matching syst | | 图书封面 |  | | 描述 | .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 e | | 出版日期 | Book 2017 | | 关键词 | Taxonomy matching; Pattern matching; Schema matching; Semantic heterogeneity; Ontology matching | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-72209-2 | | isbn_softcover | 978-3-319-89157-6 | | isbn_ebook | 978-3-319-72209-2 | | copyright | Springer International Publishing AG 2017 |
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发表于 2025-3-21 16:40:24
