dc.contributor.author | Martins, Bruno | |
dc.contributor.author | López-Pellicer, Francisco J. | |
dc.contributor.author | Ahlers, Dirk | |
dc.date.accessioned | 2023-07-25T07:24:59Z | |
dc.date.available | 2023-07-25T07:24:59Z | |
dc.date.created | 2016-01-12T15:48:48Z | |
dc.date.issued | 2015 | |
dc.identifier.isbn | 978-1-4503-3937-7 | |
dc.identifier.uri | https://hdl.handle.net/11250/3081176 | |
dc.description.abstract | This vision paper argues that a geospatial knowledge base combining textual descriptions for concepts such as places, together with place types, semantic relations between concepts and, most importantly, polygonal geometries associated to the geospatial concepts, constitutes a valuable resource for researchers working on the computational modeling of spatial language. We describe a simple procedure for producing one such resource from existing open datasets, and discuss possible ways for moving beyond the current state-of-the-art within the general area of geospatial text mining, through studies supported by one such knowledge base. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Association for Computing Machinery (ACM) | en_US |
dc.relation.ispartof | GIR '15 Proceedings of the 9th Workshop on Geographic Information Retrieval | |
dc.title | Expanding the utility of geospatial knowledge bases by linking concepts to WikiText and to polygonal boundaries | en_US |
dc.title.alternative | Expanding the utility of geospatial knowledge bases by linking concepts to WikiText and to polygonal boundaries | en_US |
dc.type | Chapter | en_US |
dc.description.version | publishedVersion | en_US |
dc.identifier.cristin | 1311342 | |
cristin.ispublished | true | |
cristin.fulltext | original | |