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The Semantic Web, Karl Aberer; Key-Sun Choi; Natasha Noy; Dean Allem


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Автор: Karl Aberer; Key-Sun Choi; Natasha Noy; Dean Allem
Название:  The Semantic Web
ISBN: 9783540762973
Издательство: Springer
Классификация:
ISBN-10: 3540762973
Обложка/Формат: Paperback
Страницы: 1000
Вес: 1.12 кг.
Дата издания: 2007
Серия: Lecture Notes in Computer Science
Язык: English
Иллюстрации: Illustrations
Размер: 237 x 152 x 32
Читательская аудитория: Professional & vocational
Подзаголовок: 6th international semantic web conference, 2nd asian semantic web conference, iswc 2007 + aswc 2007, busan, korea, november 11-15, 2007, proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Constitutes the refereed proceedings of the joint 6th International Semantic Web Conference, ISWC 2007, and the 2nd Asian Semantic Web Conference, ASWC 2007, held in Busan, Korea, in November 2007. This book includes papers that address various issues in the field of the semantic Web.


Web Reasoning and Rule Systems

Автор: Massimo Marchiori; Jeff Z. Pan; Christian de Saint
Название: Web Reasoning and Rule Systems
ISBN: 354072981X ISBN-13(EAN): 9783540729815
Издательство: Springer
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Описание: Constitutes the refereed proceedings of the First International Conference on Web Reasoning and Rule Systems, RR 2007, held in Innsbruck, Austria. This book addresses various topics in Web reasoning and rule systems, including acquisition of rules and ontologies by knowledge extraction, design and analysis of reasoning languages.

Semantics, Web and Mining

Автор: Markus Ackermann; Bettina Berendt; Marko Grobelnik
Название: Semantics, Web and Mining
ISBN: 3540476970 ISBN-13(EAN): 9783540476979
Издательство: Springer
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Описание: Finding knowledge - or meaning - in data is the goal of every knowledge d- covery e?ort. Subsequent goals and questions regarding this knowledge di?er amongknowledgediscovery(KD) projectsandapproaches. Onecentralquestion is whether and to what extent the meaning extracted from the data is expressed in a formal way that allows not only humans but also machines to understand and re-use it, i. e., whether the semantics are formal semantics. Conversely, the input to KD processes di?ers between KD projects and approaches. One central questioniswhetherthebackgroundknowledge, businessunderstanding, etc. that the analyst employs to improve the results of KD is a set of natural-language statements, a theory in a formal language, or somewhere in between. Also, the data that are being mined can be more or less structured and/or accompanied by formal semantics. These questions must be asked in every KD e?ort. Nowhere may they be more pertinent, however, than in KD from Web data ("Web mining"). This is due especially to the vast amounts and heterogeneity of data and ba- ground knowledge available for Web mining (content, link structure, and - age), and to the re-use of background knowledge and KD results over the Web as a global knowledge repository and activity space. In addition, the (Sem- tic) Web can serve as a publishing space for the results of knowledge discovery from other resources, especially if the whole process is underpinned by common ontologies.


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