---
res:
  bibo_abstract:
  - The term Industrie 4.0 carries the vision of smart factories, which automatically
    adapt to changes and assist the human as much as possible during operation and
    maintenance. This includes smart human machine interfaces, which reduce the chances
    of errors and help to make the right decisions. This paper presents an approach
    to equip the maintenance software running on a tablet PC with augmented reality
    functionality to be able to place virtual sticky notes at production modules.
    Additionally, these sticky notes are enriched with position information. The central
    element of this approach is an ontology-based context-aware framework, which aggregates
    and processes data from different sources. As a result, a tablet PC application
    was implemented, which allows displaying maintenance information as well as live
    plant process data in the form of augmented reality. More than 100 of those sticky
    notes can be placed using this system, whereas each note requires a file size
    of 12 to 16 kilo bytes. After placing a sticky note, the system recognizes it
    even if the camera's position is not exactly the same as during the placing process.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Holger
      foaf_name: Flatt, Holger
      foaf_surname: Flatt
      foaf_workInfoHomepage: http://www.librecat.org/personId=58494
  - foaf_Person:
      foaf_givenName: Nils
      foaf_name: Koch, Nils
      foaf_surname: Koch
  - foaf_Person:
      foaf_givenName: Andrei
      foaf_name: Guenter, Andrei
      foaf_surname: Guenter
  - foaf_Person:
      foaf_givenName: Carsten
      foaf_name: Röcker, Carsten
      foaf_surname: Röcker
      foaf_workInfoHomepage: http://www.librecat.org/personId=61525
  - foaf_Person:
      foaf_givenName: Jürgen
      foaf_name: Jasperneite, Jürgen
      foaf_surname: Jasperneite
      foaf_workInfoHomepage: http://www.librecat.org/personId=1899
  bibo_doi: 10.1109/ETFA.2015.7301586
  dct_date: 2015^xs_gYear
  dct_language: eng
  dct_publisher: IEEE@
  dct_subject:
  - Maintenance engineering
  - Augmented reality
  - Context
  - Context modelin
  - Production facilities
  - Cameras
  dct_title: A Context-Aware Assistance System for Maintenance Applications in Smart
    Factories based on Augmented Reality and Indoor Localization@
...