000 03645nam a22003615i 4500
001 285365
003 MX-SnUAN
005 20160429154401.0
007 cr nn 008mamaa
008 150903s2010 xxu| o |||| 0|eng d
020 _a9781441976659
_99781441976659
024 7 _a10.1007/9781441976659
_2doi
035 _avtls000339022
039 9 _a201509030836
_bVLOAD
_c201404300354
_dVLOAD
_y201402060925
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA76.76.A65
100 1 _aWood, David.
_eeditor.
_9313528
245 1 0 _aLinking Enterprise Data /
_cedited by David Wood.
264 1 _aBoston, MA :
_bSpringer US,
_c2010.
300 _axxvI, 291 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 _aWhy Link Enterprise Data? -- Semantic Web and the Linked Data Enterprise -- The Role of Community-Driven Data Curation for Enterprises -- Approval and Support of Linked Data Projects -- Preparing for a Linked Data Enterprise -- Selling and Building Linked Data: Drive Value and Gain Momentum -- Techniques for Linking Enterprise Data -- Enhancing Enterprise 2.0 Ecosystems Using Semantic Web and Linked Data Technologies:The SemSLATES Approach -- Linking XBRL Financial Data -- Scalable Reasoning Techniques for Semantic Enterprise Data -- Reliable and Persistent Identification of Linked Data Elements -- Success Stories -- Linked Data for Fighting Global Hunger:Experiences in setting standards for Agricultural Information Management -- Enterprise Linked Data as Core Business Infrastructure -- Standardizing Legal Content with OWL and RDF -- A Role for Semantic Web Technologies in Patient Record Data Collection -- Use of Semantic Web technologies on the BBC Web Sites.
520 _aEnterprise data is growing at a much faster rate than traditional technologies allow. New enterprise architectures combining existing technologies are desperately needed. This book suggests a way forward by applying new techniques of the World Wide Web to enterprise information systems. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web and Linked Data research, standards development and adoption. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. This book is divided into four sections: Benefits of applying Linked Data principles in enterprise settings, enterprise approval and support of Linked Data projects, specific Linked Data techniques and a number of real-world success stories from early enterprise adopters. Linking Enterprise Data targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems. Computer science graduate students and researchers focusing on enterprise information integration will also benefit.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781441976642
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-7665-9
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c285365
_d285365