Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/10007159,
  title    = {Ontology for a Voice Transcription of OpenStreetMap Data: The Case of Space Apprehension by Visually Impaired Persons},
  author    = {Said Boularouk and  Didier Josselin and  Eitan Altman},
  country   = {France},
  institution={University of Avignon},
  abstract  = {In this paper, we present a vocal ontology of
OpenStreetMap data for the apprehension of space by visually
impaired people. Indeed, the platform based on produsage gives a
freedom to data producers to choose the descriptors of geocoded
locations. Unfortunately, this freedom, called also folksonomy leads
to complicate subsequent searches of data. We try to solve this issue
in a simple but usable method to extract data from OSM databases in
order to send them to visually impaired people using Text To Speech
technology. We focus on how to help people suffering from visual
disability to plan their itinerary, to comprehend a map by querying
computer and getting information about surrounding environment in
a mono-modal human-computer dialogue.},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {11},
  number    = {5},
  year      = {2017},
  pages     = {597 - 601},
  ee        = {http://waset.org/publications/10007159},
  url       = {http://waset.org/Publications?p=125},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 125, 2017},
}