---
res:
  bibo_abstract:
  - Manufacturing companies are challenged to make the increasingly complex work processes
    equally manageable for all employees to prevent an impending loss of competence.
    In this contribution, an intelligent assistance system is proposed enabling employees
    to help themselves in the workplace and provide them with competence-related support.
    This results in increasing the short- and long-term efficiency of problem solving
    in companies.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Sahar
      foaf_name: Deppe, Sahar
      foaf_surname: Deppe
  - foaf_Person:
      foaf_givenName: Lukas
      foaf_name: Brandt, Lukas
      foaf_surname: Brandt
  - foaf_Person:
      foaf_givenName: Marc
      foaf_name: Brünninghaus, Marc
      foaf_surname: Brünninghaus
  - foaf_Person:
      foaf_givenName: Jörg
      foaf_name: Papenkordt, Jörg
      foaf_surname: Papenkordt
      foaf_workInfoHomepage: http://www.librecat.org/personId=44648
  - foaf_Person:
      foaf_givenName: Stefan
      foaf_name: Heindorf, Stefan
      foaf_surname: Heindorf
      foaf_workInfoHomepage: http://www.librecat.org/personId=11871
    orcid: 0000-0002-4525-6865
  - foaf_Person:
      foaf_givenName: Gudrun
      foaf_name: Tschirner-Vinke, Gudrun
      foaf_surname: Tschirner-Vinke
  bibo_doi: 10.1109/ETFA52439.2022.9921520
  dct_date: 2022^xs_gYear
  dct_language: eng
  dct_subject:
  - Assistance system
  - Knowledge graph
  - Information retrieval
  - Neural networks
  - AR
  dct_title: AI-Based Assistance System for Manufacturing@
...