GSP - Geo-Semantic-Parsing

GSP receives a text document as input and returns an enriched document, where all mentions of places/locations are associated to the corresponding geographic coordinates. To achieve this goal, in a first step GSP performs semantic annotation with the aim of identifying relevant parts of the input text, and to link them to pertinent resources (e.g., DBpedia entities) in the Linked Data cloud. Then, GSP exploits the rich and structured information associated to RDF resources to identify, via machine learning, geographic resources and to extract the right geographic coordinates for each resource.

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Field Value
Accessibility Trans National Access
AccessibilityMode Download
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Availability On-Site
Basic rights Making available to the public
CreationDate 2019-01-16
Creator Cresci Stefano,
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Field/Scope of use Research only
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License term /Not specified
Owner Cresci Stefano,
RelatedPaper Avvenuti, M., Cresci, S., Nizzoli, L., & Tesconi, M. (2018, June). GSP (Geo-Semantic-Parsing): Geoparsing and Geotagging with Machine Learning on top of Linked Data. In 2018 Extended Semantic Web Conference (pp. 17-32).
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Semantic Coverage
Sublicense rights No
Territory of use World Wide
ThematicCluster Text and Social Media Mining
UsageMode Download
system:type Method
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Author Cresci Stefano
Maintainer Cresci Stefano
Version 1
Last Updated 16 January 2019, 10:49 (CET)
Created 16 January 2019, 10:49 (CET)