Intuitive and natural interfaces for geospatial data classification

Research output: Contribution to journalConference articleScientificpeer-review

Researchers

Research units

  • University of Bremen
  • German Research Center for Artificial Intelligence
  • University of Münster

Abstract

Increasing availability of GPS-enabled devices technically enables a broad variety of people to participate in the volunteered geographic information (VGI) movement and to collect and share information about places and spatial entities. But in order to be useful, geo-data has to be correctly classified, and inexperienced users need assistance to be able to provide correctly classified information, because the classification system is complex and not always intuitive. In this paper, we propose a natural classification approach for spatial entities based on speech recognition and ontological reasoning to allow users to contribute geo-data with as little barriers as possible.

Details

Original languageEnglish
Pages (from-to)26-32
Number of pages7
JournalCEUR Workshop Proceedings
Volume881
Publication statusPublished - 1 Dec 2012
MoE publication typeA4 Article in a conference publication
EventInternational Workshop on Place-Related Knowledge Acquisition Research - Seebruck, Germany
Duration: 31 Aug 201231 Aug 2012

ID: 36586460