{"product_id":"taxonomy-matching-using-background-knowledge-linked-data-semantic-web-and-heterogeneous-repositories-hardcover","title":"Taxonomy Matching Using Background Knowledge: Linked Data, Semantic Web and Heterogeneous Repositories - Hardcover","description":"\u003cp\u003eby \u003cb\u003eHeiko Angermann\u003c\/b\u003e (Author), \u003cb\u003eNaeem Ramzan\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003eTopics 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.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDiscusses the fundamentals and the latest developments in taxonomy matching, including the related fields of ontology matching and schema matching\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eReviews next-generation matching strategies, matching algorithms, matching systems, and OAEI campaigns, as well as alternative evaluations\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExamines how the latest techniques make use of different sources of background knowledge to enable precise matching between repositories\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDescribes the theoretical background, state-of-the-art research, and practical real-world applications\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCovers the fields of dynamic taxonomies, personalized directories, catalog segmentation, and recommender systems\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eThis 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.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e​Dr. Heiko Angermann\u003c\/b\u003e 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. \u003cb\u003eProf. Naeem Ramzan\u003c\/b\u003e 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 \u003ci\u003eSocial Media Retrieval\u003c\/i\u003e.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Heiko Angermann\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eProf. Naeem Ramzan\u003c\/b\u003e 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\u003ci\u003e Social Media Retrieval\u003c\/i\u003e.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 103\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.31 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 17, 2018\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42711340843071,"sku":"9783319722085","price":77.74,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/c6a6e7c35c27ed99ce4b0b334a0959f6.webp?v=1765058160","url":"https:\/\/dhlswag.com\/products\/taxonomy-matching-using-background-knowledge-linked-data-semantic-web-and-heterogeneous-repositories-hardcover","provider":"BBB","version":"1.0","type":"link"}