The Semantic Web, Karl Aberer; Key-Sun Choi; Natasha Noy; Dean Allem
Автор: Massimo Marchiori; Jeff Z. Pan; Christian de Saint Название: Web Reasoning and Rule Systems ISBN: 354072981X ISBN-13(EAN): 9783540729815 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: James Powell Название: A Librarian`s Guide to Graphs, Data and the Semantic Web ISBN: 1843347539 ISBN-13(EAN): 9781843347538 Издательство: Elsevier Science Рейтинг: Цена: 61760.00 T Наличие на складе: Невозможна поставка. Описание: A Librarian`s Guide to Graphs, Data and the Semantic Web is geared toward library and information science professionals, including librarians, software developers and information systems architects who want to understand the fundamentals of graph theory, how it is used to represent and explore data, and how it relates to the semantic web.
Автор: Markus Ackermann; Bettina Berendt; Marko Grobelnik Название: Semantics, Web and Mining ISBN: 3540476970 ISBN-13(EAN): 9783540476979 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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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