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: Corporate Knowledge Discovery and Organizational Learning
    sub title: The Role, Importance, and Application of Semantic Business Process Management
  name:
    name part: Gábor, András.
    role:
      role term: editor.
  name:
    name part: Kő, Andrea.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 173 p. 71 illus., 62 illus. in color. online resource.
  abstract: This book investigates organizational learning from a variety of information processing perspectives. Continuous change and complexity in regulatory, social and economic environments are increasingly forcing organizations and their employees to acquire the necessary job-specific knowledge at the right time and in the right format. Though many regulatory documents are now available in digital form, their complexity and diversity make identifying the relevant elements for a particular context a challenging task. In such scenarios, business processes tend to be important sources of knowledge, containing rich but in many cases embedded, hidden knowledge. This book discusses the possible connection between business process models and corporate knowledge assets; knowledge extraction approaches based on organizational processes; developing and maintaining corporate knowledge bases; and semantic business process management and its relation to organizational learning approaches. The individual chapters reveal the different elements of a knowledge management solution designed to extract, organize and preserve the knowledge embedded in business processes so as to: enrich organizational knowledge bases in a systematic and controlled way, support employees in acquiring job role-specific knowledge, promote organizational learning, and steer human capital investment. All of these topics are analyzed on the basis of real-world cases from the domains of insurance, food safety, innovation, and funding.
  table of contents: Corporate Knowledge Discovery and Organizational Learning - The Role, Importance, and Application of Semantic Business Process Management - The ProKEX Case -- Corporate Semantic Business Process Management -- ProMine: A Text Mining Solution for Concept Extraction and Filtering -- STUDIO - Ontology-Centric Knowledge-Based System -- Ontology Tailoring for Job Role Knowledge -- STUDIO: A Solution on Adaptive Testing -- Future Development: Towards Semantic Compliance Checking.
  note: edited by András Gábor, Andrea Kő.
  subject:
    topic: Business
  subject:
    topic: Knowledge management
  subject:
    topic: Management information systems
  subject:
    topic: Data mining
  subject:
    topic: Business and Management
  subject:
    topic: Knowledge Management
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Business Information Systems
  classification: HD30.2
  classification: 658.4038
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Knowledge Management and Organizational Learning, 2
  identifier: 9783319289175
  identifier: http://dx.doi.org/10.1007/978-3-319-28917-5
  record info:
    record creation date: 160419
    record change date: 20160419102238.0
    record identifier: 978-3-319-28917-5