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Global machine learning for spatial ontology population
2015
Journal of Web Semantics
Understanding spatial language is important in many applications such as geographical information systems, human computer interaction or text-to-scene conversion. Due to the challenges of designing spatial ontologies, the extraction of spatial information from natural language still has to be placed in a well-defined framework. In this work, we propose an ontology which bridges between cognitive-linguistic spatial concepts in natural language and multiple qualitative spatial representation and
doi:10.1016/j.websem.2014.06.001
fatcat:amojkc74jbg3nabsneelt4a44m