The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 309–314, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-309-2018
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 309–314, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-309-2018

  19 Sep 2018

19 Sep 2018

ENRICHMENT AND POPULATION OF A GEOSPATIAL ONTOLOGY FOR SEMANTIC INFORMATION EXTRACTION

M. Kokla1, V. Papadias2, and E. Tomai1 M. Kokla et al.
  • 1School of Rural and Surveying Engineering, National Technical University of Athens, Greece
  • 2Dept. of Geography, Harokopio University of Athens, Greece

Keywords: Ontology Development, Ontology Enrichment, Ontology Population, Semantic Information Extraction, Geospatial Ontology

Abstract. The massive amount of user-generated content available today presents a new challenge for the geospatial domain and a great opportunity to delve into linguistic, semantic, and cognitive aspects of geographic information. Ontology-based information extraction is a new, prominent field in which a domain ontology guides the extraction process and the identification of pre-defined concepts, properties, and instances from natural language texts. The paper describes an approach for enriching and populating a geospatial ontology using both a top-down and a bottom-up approach in order to enable semantic information extraction. The top-down approach is applied in order to incorporate knowledge from existing ontologies. The bottom-up approach is applied in order to enrich and populate the geospatial ontology with semantic information (concepts, relations, and instances) extracted from domain-specific web content.