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: Granular Knowledge Cube
    sub title: An Expert Finder System for Knowledge Carriers
  name:
    name part: Denzler, Alexander.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 164 p. online resource.
  abstract: This book introduces a novel type of expert finder system that can determine the knowledge that specific users within a community hold, using explicit and implicit data sources to do so. Further, it details how this is accomplished by combining granular computing, natural language processing and a set of metrics that it introduces to measure and compare candidates' suitability. The book describes profiling techniques that can be used to assess knowledge requirements on the basis of a given problem statement or question, so as to ensure that only the most suitable candidates are recommended. The book brings together findings from natural language processing, artificial intelligence and big data, which it subsequently applies to the context of expert finder systems. Accordingly, it will appeal to researchers, developers and innovators alike. .
  table of contents: Part I: Motivation and Objectives -- Part II: Background -- Part III: Conceptual Framework -- Part IV: Architecture and Inference System -- Part V: Conclusions.
  note: by Alexander Denzler.
  subject:
    topic: Management information systems
  subject:
    topic: Data mining
  subject:
    topic: Knowledge management
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational linguistics
  subject:
    topic: Business Information Systems
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Knowledge Management
  subject:
    topic: Data Storage Representation
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computational Linguistics
  classification: HD30.2
  classification: 658.4038
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Fuzzy Management Methods
  identifier: 9783030229788
  identifier: https://doi.org/10.1007/978-3-030-22978-8
  record info:
    record creation date: 190617
    record change date: 20191027131356.0
    record identifier: 978-3-030-22978-8