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001 978-1-4419-7665-9
003 DE-He213
005 20140220084511.0
007 cr nn 008mamaa
008 101110s2010 xxu| s |||| 0|eng d
020 _a9781441976659
_9978-1-4419-7665-9
024 7 _a10.1007/978-1-4419-7665-9
_2doi
050 4 _aQA76.76.A65
072 7 _aUNH
_2bicssc
072 7 _aUDBD
_2bicssc
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.7
_223
100 1 _aWood, David.
_eeditor.
245 1 0 _aLinking Enterprise Data
_h[electronic resource] /
_cedited by David Wood.
264 1 _aBoston, MA :
_bSpringer US,
_c2010.
300 _aXXVI, 291p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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.
650 0 _aComputer science.
650 0 _aInformation systems.
650 0 _aInformation storage and retrieval systems.
650 0 _aInformation Systems.
650 0 _aManagement information systems.
650 1 4 _aComputer Science.
650 2 4 _aInformation Systems Applications (incl.Internet).
650 2 4 _aBusiness Information Systems.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aManagement of Computing and Information Systems.
650 2 4 _aInformation Systems and Communication Service.
650 2 4 _aUser Interfaces and Human Computer Interaction.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441976642
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-7665-9
912 _aZDB-2-SCS
999 _c110751
_d110751