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Geocoding Tweets Based on Semantic Web and Ontologies
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Author(s): Imelda Escamilla (CIC, Instituto Politécnico Nacional, Mexico City, Mexico), Miguel Torres Ruíz (Instituto Politécnico Nacional, Mexico), Marco Moreno Ibarra (Instituto Politécnico Nacional, Mexico), Vladimir Luna Soto (Instituto Politécnico Nacional, Mexico), Rolando Quintero (Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico)and Giovanni Guzmán (Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico)
Copyright: 2018
Pages: 21
Source title:
Innovations, Developments, and Applications of Semantic Web and Information Systems
Source Author(s)/Editor(s): Miltiadis D. Lytras (American College of Greece, Greece), Naif Aljohani (King Abdulaziz University, Saudi Arabia), Ernesto Damiani (University of Milan, Italy)and Kwok Tai Chui (The Open University of Hong Kong, Hong Kong)
DOI: 10.4018/978-1-5225-5042-6.ch014
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Abstract
Human ability to understand approximate references to locations, disambiguated by means of context and reasoning about spatial relationships, is the key to describe spatial environments and to share information about them. In this paper, we propose an approach for geocoding that takes advantage of the spatial relationships contained in the text of tweets, using semantic web, ontologies and spatial analyses. Microblog text has special characteristics (e.g. slang, abbreviations, acronyms, etc.) and thus represents a special variation of natural language. The main objective of this work is to associate spatial relationships found in text with a spatial footprint, to determine the location of the event described in the tweet. The feasibility of the proposal is demonstrated using a corpus of 200,000 tweets posted in Spanish related with traffic events in Mexico City.
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