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Cedric Bousquet - One of the best experts on this subject based on the ideXlab platform.
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Vigi4Med Scraper: A Framework for Web Forum Structured Data Extraction and Semantic Representation.
PLOS ONE, 2017Co-Authors: Bissan Audeh, Michel Beigbeder, Philippe Jaillon, Antoine Zimmermann, Cedric BousquetAbstract:View at Publisher| Export | Download | Add to List| More... PLoS ONE Volume 12, Issue 1, January 2017, Article number e0169658 Open Access Vigi4Med scraper: A framework for web forum structured data extraction and semantic representation (Article) Audeh, B.a , Beigbeder, M.a, Zimmermann, A.a, Jaillon, P.b, Bousquet, C.c a University of Lyon, MINES Saint-Etienne, CNRS, Hubert Curien Laboratory, UMR 5516, Saint-Etienne, France b Ecole Nationale Superieure des Mines de Saint-Etienne, Saint-Etienne, France c INSERM, U1142, LIMICS, Paris, France View additional affiliations View references (36) Abstract The extraction of information from social media is an essential yet complicated step for data analysis in multiple domains. In this paper, we present Vigi4Med Scraper, a generic open source framework for extracting structured data from web forums. Our framework is highly configurable; using a configuration file, the user can freely choose the data to extract from any web forum. The extracted data are anonymized and represented in a semantic structure using Resource Description Framework (RDF) graphs. This representation enables efficient manipulation by data analysis algorithms and allows the collected data to be directly linked to any existing semantic resource. To avoid server overload, an integrated proxy with Caching Functionality imposes a minimal delay between sequential requests. Vigi4Med Scraper represents the first step of Vigi4Med, a project to detect adverse drug reactions (ADRs) from social networks founded by the French drug safety agency Agence Nationale de Securite du Medicament (ANSM). Vigi4Med Scraper has successfully extracted greater than 200 gigabytes of data from the web forums of over 20 different websites. © 2017 Audeh et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Bissan Audeh - One of the best experts on this subject based on the ideXlab platform.
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Vigi4Med Scraper: A Framework for Web Forum Structured Data Extraction and Semantic Representation.
PLOS ONE, 2017Co-Authors: Bissan Audeh, Michel Beigbeder, Philippe Jaillon, Antoine Zimmermann, Cedric BousquetAbstract:View at Publisher| Export | Download | Add to List| More... PLoS ONE Volume 12, Issue 1, January 2017, Article number e0169658 Open Access Vigi4Med scraper: A framework for web forum structured data extraction and semantic representation (Article) Audeh, B.a , Beigbeder, M.a, Zimmermann, A.a, Jaillon, P.b, Bousquet, C.c a University of Lyon, MINES Saint-Etienne, CNRS, Hubert Curien Laboratory, UMR 5516, Saint-Etienne, France b Ecole Nationale Superieure des Mines de Saint-Etienne, Saint-Etienne, France c INSERM, U1142, LIMICS, Paris, France View additional affiliations View references (36) Abstract The extraction of information from social media is an essential yet complicated step for data analysis in multiple domains. In this paper, we present Vigi4Med Scraper, a generic open source framework for extracting structured data from web forums. Our framework is highly configurable; using a configuration file, the user can freely choose the data to extract from any web forum. The extracted data are anonymized and represented in a semantic structure using Resource Description Framework (RDF) graphs. This representation enables efficient manipulation by data analysis algorithms and allows the collected data to be directly linked to any existing semantic resource. To avoid server overload, an integrated proxy with Caching Functionality imposes a minimal delay between sequential requests. Vigi4Med Scraper represents the first step of Vigi4Med, a project to detect adverse drug reactions (ADRs) from social networks founded by the French drug safety agency Agence Nationale de Securite du Medicament (ANSM). Vigi4Med Scraper has successfully extracted greater than 200 gigabytes of data from the web forums of over 20 different websites. © 2017 Audeh et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Antoine Zimmermann - One of the best experts on this subject based on the ideXlab platform.
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Vigi4Med Scraper: A Framework for Web Forum Structured Data Extraction and Semantic Representation.
PLOS ONE, 2017Co-Authors: Bissan Audeh, Michel Beigbeder, Philippe Jaillon, Antoine Zimmermann, Cedric BousquetAbstract:View at Publisher| Export | Download | Add to List| More... PLoS ONE Volume 12, Issue 1, January 2017, Article number e0169658 Open Access Vigi4Med scraper: A framework for web forum structured data extraction and semantic representation (Article) Audeh, B.a , Beigbeder, M.a, Zimmermann, A.a, Jaillon, P.b, Bousquet, C.c a University of Lyon, MINES Saint-Etienne, CNRS, Hubert Curien Laboratory, UMR 5516, Saint-Etienne, France b Ecole Nationale Superieure des Mines de Saint-Etienne, Saint-Etienne, France c INSERM, U1142, LIMICS, Paris, France View additional affiliations View references (36) Abstract The extraction of information from social media is an essential yet complicated step for data analysis in multiple domains. In this paper, we present Vigi4Med Scraper, a generic open source framework for extracting structured data from web forums. Our framework is highly configurable; using a configuration file, the user can freely choose the data to extract from any web forum. The extracted data are anonymized and represented in a semantic structure using Resource Description Framework (RDF) graphs. This representation enables efficient manipulation by data analysis algorithms and allows the collected data to be directly linked to any existing semantic resource. To avoid server overload, an integrated proxy with Caching Functionality imposes a minimal delay between sequential requests. Vigi4Med Scraper represents the first step of Vigi4Med, a project to detect adverse drug reactions (ADRs) from social networks founded by the French drug safety agency Agence Nationale de Securite du Medicament (ANSM). Vigi4Med Scraper has successfully extracted greater than 200 gigabytes of data from the web forums of over 20 different websites. © 2017 Audeh et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Philippe Jaillon - One of the best experts on this subject based on the ideXlab platform.
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Vigi4Med Scraper: A Framework for Web Forum Structured Data Extraction and Semantic Representation.
PLOS ONE, 2017Co-Authors: Bissan Audeh, Michel Beigbeder, Philippe Jaillon, Antoine Zimmermann, Cedric BousquetAbstract:View at Publisher| Export | Download | Add to List| More... PLoS ONE Volume 12, Issue 1, January 2017, Article number e0169658 Open Access Vigi4Med scraper: A framework for web forum structured data extraction and semantic representation (Article) Audeh, B.a , Beigbeder, M.a, Zimmermann, A.a, Jaillon, P.b, Bousquet, C.c a University of Lyon, MINES Saint-Etienne, CNRS, Hubert Curien Laboratory, UMR 5516, Saint-Etienne, France b Ecole Nationale Superieure des Mines de Saint-Etienne, Saint-Etienne, France c INSERM, U1142, LIMICS, Paris, France View additional affiliations View references (36) Abstract The extraction of information from social media is an essential yet complicated step for data analysis in multiple domains. In this paper, we present Vigi4Med Scraper, a generic open source framework for extracting structured data from web forums. Our framework is highly configurable; using a configuration file, the user can freely choose the data to extract from any web forum. The extracted data are anonymized and represented in a semantic structure using Resource Description Framework (RDF) graphs. This representation enables efficient manipulation by data analysis algorithms and allows the collected data to be directly linked to any existing semantic resource. To avoid server overload, an integrated proxy with Caching Functionality imposes a minimal delay between sequential requests. Vigi4Med Scraper represents the first step of Vigi4Med, a project to detect adverse drug reactions (ADRs) from social networks founded by the French drug safety agency Agence Nationale de Securite du Medicament (ANSM). Vigi4Med Scraper has successfully extracted greater than 200 gigabytes of data from the web forums of over 20 different websites. © 2017 Audeh et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Michel Beigbeder - One of the best experts on this subject based on the ideXlab platform.
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Vigi4Med Scraper: A Framework for Web Forum Structured Data Extraction and Semantic Representation.
PLOS ONE, 2017Co-Authors: Bissan Audeh, Michel Beigbeder, Philippe Jaillon, Antoine Zimmermann, Cedric BousquetAbstract:View at Publisher| Export | Download | Add to List| More... PLoS ONE Volume 12, Issue 1, January 2017, Article number e0169658 Open Access Vigi4Med scraper: A framework for web forum structured data extraction and semantic representation (Article) Audeh, B.a , Beigbeder, M.a, Zimmermann, A.a, Jaillon, P.b, Bousquet, C.c a University of Lyon, MINES Saint-Etienne, CNRS, Hubert Curien Laboratory, UMR 5516, Saint-Etienne, France b Ecole Nationale Superieure des Mines de Saint-Etienne, Saint-Etienne, France c INSERM, U1142, LIMICS, Paris, France View additional affiliations View references (36) Abstract The extraction of information from social media is an essential yet complicated step for data analysis in multiple domains. In this paper, we present Vigi4Med Scraper, a generic open source framework for extracting structured data from web forums. Our framework is highly configurable; using a configuration file, the user can freely choose the data to extract from any web forum. The extracted data are anonymized and represented in a semantic structure using Resource Description Framework (RDF) graphs. This representation enables efficient manipulation by data analysis algorithms and allows the collected data to be directly linked to any existing semantic resource. To avoid server overload, an integrated proxy with Caching Functionality imposes a minimal delay between sequential requests. Vigi4Med Scraper represents the first step of Vigi4Med, a project to detect adverse drug reactions (ADRs) from social networks founded by the French drug safety agency Agence Nationale de Securite du Medicament (ANSM). Vigi4Med Scraper has successfully extracted greater than 200 gigabytes of data from the web forums of over 20 different websites. © 2017 Audeh et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
