| 書目名稱 | Data Management and Query Processing in Semantic Web Databases | | 編輯 | Sven Groppe | | 視頻video | http://file.papertrans.cn/263/262860/262860.mp4 | | 概述 | First book on performance issues for Semantic Web data management.Author was a member of the W3C working group that defined the standard query language SPARQL.Additional teaching and demonstration mat | | 圖書封面 |  | | 描述 | .The Semantic Web, which is intended to establish a machine-understandable Web, is currently changing from being an emerging trend to a technology used in complex real-world applications. A number of standards and techniques have been developed by the World Wide Web Consortium (W3C), e.g., the Resource Description Framework (RDF), which provides a general method for conceptual descriptions for Web resources, and SPARQL, an RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence, function and annotation data, the RDF data extracted from Wikipedia, and Princeton University’s WordNet. Clearly, querying performance has become a key issue for Semantic Web applications..In his book, Groppe details various aspects of high-performance Semantic Web data management and query processing. His presentation fills the gap between Semantic Web and database books, which either fail to take into account the performance issues of large-scale data management or fail to exploit the special properties of Semantic Web data models and queries. After a general introduction to the relevant Semantic Web standards, he presen | | 出版日期 | Book 2011 | | 關(guān)鍵詞 | RDF; SPARQL; database management; query optimization; query processing; semantic web; stream data processi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-19357-6 | | isbn_softcover | 978-3-642-43549-2 | | isbn_ebook | 978-3-642-19357-6 | | copyright | Springer-Verlag Berlin Heidelberg 2011 |
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