SNEToolkit: Spatial named entities disambiguation toolkit
“Can you tell me where San Jose is located?” “Uh! Do you know that there are more than 1700 locations named San Jose in the world?” The official name of a location is often not the name with which we are familiar. Spatial named entity (SNE) disambiguation is the process of identifying and assigning precise coordinates to a place name that can be identified in a text. This task is not always straightforward, especially when the place name in question is ambiguous for various reasons. In this context, we are interested in the disambiguation of spatial named entities that can be identified in a textual document on a country level. The solution that we propose is based on a set of techniques that allow us to disambiguate the spatial entity considering the context in which it is mentioned from a certain number of characteristics that are specific to it. The solution uses as input a textual document and extricates the named entities identified therein while associating them with the correct coordinates. SNE disambiguation is designed to support the process of fast exploration of spatiotemporal data analysis, most often for event tracking. The proposed approach was tested on 1360 SNEs extracted from the GeoVirus dataset. The results show that SNEToolkit outperformed the baseline, the standard Geonames geocoder, with a recall value of 0.911 against a recall value of 0.871 for the baseline. A flexible Python package is provided for end users.
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Subjects: | U10 - Informatique, mathématiques et statistiques, C30 - Documentation et information, B10 - Géographie, fouille de textes, analyse de données, données spatiales, http://aims.fao.org/aos/agrovoc/c_dca12b72, http://aims.fao.org/aos/agrovoc/c_15962, http://aims.fao.org/aos/agrovoc/c_379bbe9f, |
Online Access: | http://agritrop.cirad.fr/605738/ http://agritrop.cirad.fr/605738/1/Kafando_et_al_SoftwareX.pdf |
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dig-cirad-fr-6057382024-01-29T04:38:57Z http://agritrop.cirad.fr/605738/ http://agritrop.cirad.fr/605738/ SNEToolkit: Spatial named entities disambiguation toolkit. Kafando Rodrique, Decoupes Rémy, Roche Mathieu, Teisseire Maguelonne. 2023. SoftwareX, 23:101480, 11 p.https://doi.org/10.1016/j.softx.2023.101480 <https://doi.org/10.1016/j.softx.2023.101480> SNEToolkit: Spatial named entities disambiguation toolkit Kafando, Rodrique Decoupes, Rémy Roche, Mathieu Teisseire, Maguelonne eng 2023 SoftwareX U10 - Informatique, mathématiques et statistiques C30 - Documentation et information B10 - Géographie fouille de textes analyse de données données spatiales http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_379bbe9f “Can you tell me where San Jose is located?” “Uh! Do you know that there are more than 1700 locations named San Jose in the world?” The official name of a location is often not the name with which we are familiar. Spatial named entity (SNE) disambiguation is the process of identifying and assigning precise coordinates to a place name that can be identified in a text. This task is not always straightforward, especially when the place name in question is ambiguous for various reasons. In this context, we are interested in the disambiguation of spatial named entities that can be identified in a textual document on a country level. The solution that we propose is based on a set of techniques that allow us to disambiguate the spatial entity considering the context in which it is mentioned from a certain number of characteristics that are specific to it. The solution uses as input a textual document and extricates the named entities identified therein while associating them with the correct coordinates. SNE disambiguation is designed to support the process of fast exploration of spatiotemporal data analysis, most often for event tracking. The proposed approach was tested on 1360 SNEs extracted from the GeoVirus dataset. The results show that SNEToolkit outperformed the baseline, the standard Geonames geocoder, with a recall value of 0.911 against a recall value of 0.871 for the baseline. A flexible Python package is provided for end users. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/605738/1/Kafando_et_al_SoftwareX.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1016/j.softx.2023.101480 10.1016/j.softx.2023.101480 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.softx.2023.101480 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.softx.2023.101480 info:eu-repo/grantAgreement/EC/H2020/874850//(EU) MOnitoring Outbreak events for Disease surveillance in a data science context/MOOD info:eu-repo/grantAgreement/EC/H2020/ANR-20-PCPA-0002//(FRA) Building epidemiological surveillance and prophylaxis with observations both near and distant/BEYOND |
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U10 - Informatique, mathématiques et statistiques C30 - Documentation et information B10 - Géographie fouille de textes analyse de données données spatiales http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_379bbe9f U10 - Informatique, mathématiques et statistiques C30 - Documentation et information B10 - Géographie fouille de textes analyse de données données spatiales http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_379bbe9f |
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U10 - Informatique, mathématiques et statistiques C30 - Documentation et information B10 - Géographie fouille de textes analyse de données données spatiales http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_379bbe9f U10 - Informatique, mathématiques et statistiques C30 - Documentation et information B10 - Géographie fouille de textes analyse de données données spatiales http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_379bbe9f Kafando, Rodrique Decoupes, Rémy Roche, Mathieu Teisseire, Maguelonne SNEToolkit: Spatial named entities disambiguation toolkit |
description |
“Can you tell me where San Jose is located?” “Uh! Do you know that there are more than 1700 locations named San Jose in the world?” The official name of a location is often not the name with which we are familiar. Spatial named entity (SNE) disambiguation is the process of identifying and assigning precise coordinates to a place name that can be identified in a text. This task is not always straightforward, especially when the place name in question is ambiguous for various reasons. In this context, we are interested in the disambiguation of spatial named entities that can be identified in a textual document on a country level. The solution that we propose is based on a set of techniques that allow us to disambiguate the spatial entity considering the context in which it is mentioned from a certain number of characteristics that are specific to it. The solution uses as input a textual document and extricates the named entities identified therein while associating them with the correct coordinates. SNE disambiguation is designed to support the process of fast exploration of spatiotemporal data analysis, most often for event tracking. The proposed approach was tested on 1360 SNEs extracted from the GeoVirus dataset. The results show that SNEToolkit outperformed the baseline, the standard Geonames geocoder, with a recall value of 0.911 against a recall value of 0.871 for the baseline. A flexible Python package is provided for end users. |
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U10 - Informatique, mathématiques et statistiques C30 - Documentation et information B10 - Géographie fouille de textes analyse de données données spatiales http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_379bbe9f |
author |
Kafando, Rodrique Decoupes, Rémy Roche, Mathieu Teisseire, Maguelonne |
author_facet |
Kafando, Rodrique Decoupes, Rémy Roche, Mathieu Teisseire, Maguelonne |
author_sort |
Kafando, Rodrique |
title |
SNEToolkit: Spatial named entities disambiguation toolkit |
title_short |
SNEToolkit: Spatial named entities disambiguation toolkit |
title_full |
SNEToolkit: Spatial named entities disambiguation toolkit |
title_fullStr |
SNEToolkit: Spatial named entities disambiguation toolkit |
title_full_unstemmed |
SNEToolkit: Spatial named entities disambiguation toolkit |
title_sort |
snetoolkit: spatial named entities disambiguation toolkit |
url |
http://agritrop.cirad.fr/605738/ http://agritrop.cirad.fr/605738/1/Kafando_et_al_SoftwareX.pdf |
work_keys_str_mv |
AT kafandorodrique snetoolkitspatialnamedentitiesdisambiguationtoolkit AT decoupesremy snetoolkitspatialnamedentitiesdisambiguationtoolkit AT rochemathieu snetoolkitspatialnamedentitiesdisambiguationtoolkit AT teisseiremaguelonne snetoolkitspatialnamedentitiesdisambiguationtoolkit |
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1792500593482268672 |