rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Linking Enterprise Data
  name:
    name part: Wood, David.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXVI, 291 p. online resource.
  abstract: Enterprise 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.
  table of contents: Why 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.
  note: edited by David Wood.
  subject:
    topic: Computer science
  subject:
    topic: Information technology
  subject:
    topic: Business
    topic: Data processing
  subject:
    topic: Computer communication systems
  subject:
    topic: Computers
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Management information systems
  subject:
    topic: Computer Science
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: IT in Business
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Management of Computing and Information Systems
  subject:
    topic: Information Systems and Communication Service
  classification: TK5105.5-5105.9
  classification: 004.6
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781441976659
  identifier: http://dx.doi.org/10.1007/978-1-4419-7665-9
  record info:
    record creation date: 101110
    record change date: 20151204143925.0
    record identifier: 978-1-4419-7665-9