Data Management and Query Processing in Semantic Web Databases (Repost)
Data Management and Query Processing in Semantic Web Databases
English | 2011 | ISBN: 3642193560 | 279 pages | PDF | 4,88 MB
English | 2011 | ISBN: 3642193560 | 279 pages | PDF | 4,88 MB
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.