000 03680nam a22004695i 4500
001 978-3-642-19357-6
003 DE-He213
005 20140220083756.0
007 cr nn 008mamaa
008 110429s2011 gw | s |||| 0|eng d
020 _a9783642193576
_9978-3-642-19357-6
024 7 _a10.1007/978-3-642-19357-6
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aUMT
_2bicssc
072 7 _aCOM021000
_2bisacsh
082 0 4 _a005.74
_223
100 1 _aGroppe, Sven.
_eauthor.
245 1 0 _aData Management and Query Processing in Semantic Web Databases
_h[electronic resource] /
_cby Sven Groppe.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aIX, 270p. 176 illus., 64 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Semantic Web -- External Sorting and B+-Trees -- Query Processing Overview -- Logical Optimization -- Physical Optimization -- Streams -- Parallel Databases -- Inference -- Visual Query Languages -- Embedded Languages -- Comparson of the XML and Semantic Web Worlds -- Summary, Conclusions and Future Work.
520 _aThe 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 presents specialized indexing and sorting algorithms, adapted approaches for logical and physical query optimization, optimization possibilities when using the parallel database technologies of today’s multicore processors, and visual and embedded query languages. Groppe primarily targets researchers, students, and developers of large-scale Semantic Web applications. On the complementary book webpage readers will find additional material, such as an online demonstration of a query engine, and exercises, and their solutions, that challenge their comprehension of the topics presented.
650 0 _aComputer science.
650 0 _aDatabase management.
650 0 _aInformation storage and retrieval systems.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aDatabase Management.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642193569
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-19357-6
912 _aZDB-2-SCS
999 _c107529
_d107529