Taxonomy matching using background knowledge : linked data, semantic web and heterogeneous repositories / by Heiko Angermann, Naeem Ramzan.
نوع المادة : نصاللغة: الإنجليزية الناشر:Cham : Springer International Publishing : Imprint: Springer, 2017الطبعات:1st ed. 2017وصف:xiv, 103 pages: illustrations ; 24 cmنوع المحتوى:- text
- computer
- online resource
- 9783319891576
- ZA4240 .A5447 2017
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
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كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | ZA4240 .A5447 2017 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30030000000725 | ||
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | ZA4240 .A5447 2017 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30030000000726 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
ZA4234.G64 B33 2015 رحلة المعلومات من بابل إلي جوجل / | ZA4234.G64 J4312 2005 جوجل عندما تتحدى اوروبا : دعوة الى الانتفاضة / | ZA4234.G64 J4312 2005 جوجل عندما تتحدى اوروبا : دعوة الى الانتفاضة / | ZA4240 .A5447 2017 Taxonomy matching using background knowledge : linked data, semantic web and heterogeneous repositories / | ZA4240 .A5447 2017 Taxonomy matching using background knowledge : linked data, semantic web and heterogeneous repositories / | ZA4251.A5 B76 1997 America Online and best web sites : covers America Online version 3 / | ZA4375 H65 1998 Composing cyberspace : identity, community, and knowledge in the electronic age / |
Part I: Introduction to Taxonomy Matching -- Background Taxonomy Matching -- Background of Taxonomic Heterogeneity.- Part II: Recent Matching Techniques, Algorithms, Systems, Evaluations, and Datasets -- Matching Techniques, Algorithms, and Systems -- Matching Evaluations and Datasets.- Part III: Taxonomy Heterogeneity Applications -- Related Areas.- Part IV: Conclusions -- Conclusions.
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. 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.