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020 _a9783642043291
_99783642043291
024 7 _a10.1007/9783642043291
_2doi
035 _avtls000353887
039 9 _a201509030532
_bVLOAD
_c201405060327
_dVLOAD
_y201402181004
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA76.9.D3
100 1 _ade Virgilio, Roberto.
_eeditor.
_9337340
245 1 0 _aSemantic Web Information Management :
_bA Model-Based Perspective /
_cedited by Roberto de Virgilio, Fausto Giunchiglia, Letizia Tanca.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _axx, 549 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aSemantic Web Data Storage -- Relational Technologies, Metadata and RDF -- A Metamodel Approach to Semantic Web Data Management -- Managing Terabytes of Web Semantics Data -- Data and Metadata Management -- Reasoning in the Semantic Web -- Reasoning in Semantic Web-based Systems -- Modular Knowledge Representation and Reasoning in the Semantic Web -- Semantic Matching with S-Match -- Preserving Semantics in Automatically Created Ontology Alignments -- tOWL: Integrating Time in OWL -- The Semantic Web Languages -- Semantic Web Data Querying -- Datalog Extensions for Tractable Query Answering over Ontologies -- On the Semantics of SPARQL -- Labeling RDF Graphs for Linear Time and Space Querying -- SPARQLog: SPARQL with Rules and Quantification -- SPBench: A SPARQL Performance Benchmark -- Semantic Web Applications -- Using OWL in Data Integration -- Service Knowledge Spaces for Semantic Collaboration in Web-based Systems -- Informative Top-k Retrieval for Advanced Skill Management -- Engineering Semantic Web Systems -- MIDST: Interoperability for Semantic Annotations -- Virtuoso: RDF Support in a Native RDBMS -- Hera: Engineering Web Applications Using Semantic Web-based Models.
520 _aDatabases have been designed to store large volumes of data and to provide efficient query interfaces. Semantic Web formats are geared towards capturing domain knowledge, interlinking annotations, and offering a high-level, machine-processable view of information. However, the gigantic amount of such useful information makes efficient management of it increasingly difficult, undermining the possibility of transforming it into useful knowledge. The research presented by De Virgilio, Giunchiglia and Tanca tries to bridge the two worlds in order to leverage the efficiency and scalability of database-oriented technologies to support an ontological high-level view of data and metadata. The contributions present and analyze techniques for semantic information management, by taking advantage of the synergies between the logical basis of the Semantic Web and the logical foundations of data management. The book’s leitmotif is to propose models and methods especially tailored to represent and manage data that is appropriately structured for easier machine processing on the Web. After two introductory chapters on data management and the Semantic Web in general, the remaining contributions are grouped into five parts on Semantic Web Data Storage, Reasoning in the Semantic Web, Semantic Web Data Querying, Semantic Web Applications, and Engineering Semantic Web Systems. The handbook-like presentation makes this volume an important reference on current work and a source of inspiration for future development, targeting academic and industrial researchers as well as graduate students in Semantic Web technologies or database design.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aGiunchiglia, Fausto.
_eeditor.
_9331807
700 1 _aTanca, Letizia.
_eeditor.
_9337341
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642043284
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-04329-1
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c300117
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