Centre de documentation
scientifique

GeoTxt: A scalable geoparsing system for unstructured text geolocation / Morteza Karimzadeh in Transactions in GIS, vol 23 n° 1 (February 2019)  

Public [article]  inTransactions in GIS > vol 23 n° 1 (February 2019) . - pp 118 - 136 Titre : GeoTxt: A scalable geoparsing system for unstructured text geolocation Type de document : Article/Communication Auteurs : Morteza Karimzadeh, Auteur ; Scott Pezanowski, Auteur ; Alan M. MacEachren, Auteur ; Jan Oliver Wallgrün, Auteur Année de publication : 2019 Article en page(s) : pp 118 - 136 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique [Termes IGN] analyse syntaxique [Termes IGN] appariement de données localisées [Termes IGN] corpus [Termes IGN] données issues des réseaux sociaux [Termes IGN] interface de programmation [Termes IGN] méthode heuristique [Termes IGN] reconnaissance de noms [Termes IGN] répertoire toponymique [Termes IGN] réseau sémantique [Termes IGN] segmentation sémantique [Termes IGN] toponyme [Termes IGN] traitement du langage naturel Résumé : (auteur) In this article, we present GeoTxt, a scalable geoparsing system for the recognition and geolocation of place names in unstructured text. GeoTxt offers six named entity recognition (NER) algorithms for place name recognition, and utilizes an enterprise search engine for the indexing, ranking, and retrieval of toponyms, enabling scalable geoparsing for streaming text. GeoTxt offers a flexible application programming interface (API), allowing for customized attribute and/or spatial ranking of retrieved toponyms. We evaluate the system on a corpus of manually geo‐annotated tweets. First, we benchmark the performance of the six NERs that GeoTxt provides access to. Second, we assess GeoTxt toponym resolution accuracy incrementally, demonstrating improvements in toponym resolution achieved (or not achieved) by adding specific heuristics and disambiguation methods. Compared to using the GeoNames web service, GeoTxt's toponym resolution demonstrates a 20% accuracy gain. Our results show that places mentioned in the same tweet do not tend to be geographically proximate. Numéro de notice : A2019-091 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12510 Date de publication en ligne : 16/01/2019 En ligne : https://doi.org/10.1111/tgis.12510 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92238 [article]

SensePlace3: a geovisual framework to analyze place–time–attribute information in social media / Scott Pezanowski in Cartography and Geographic Information Science, Vol 45 n° 5 (August 2018)  

Public [article]  inCartography and Geographic Information Science > Vol 45 n° 5 (August 2018) . - pp 420 - 437 Titre : SensePlace3: a geovisual framework to analyze place–time–attribute information in social media Type de document : Article/Communication Auteurs : Scott Pezanowski, Auteur ; Alan M. MacEachren, Auteur ; Alexander Savelyev, Auteur ; Anthony C. Robinson, Auteur Année de publication : 2018 Article en page(s) : pp 420 - 437 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle [Termes IGN] analyse spatio-temporelle [Termes IGN] données massives [Termes IGN] environnement de développement [Termes IGN] gestion de crise [Termes IGN] réseau social [Termes IGN] trace numérique [Termes IGN] Twitter [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) SensePlace3 (SP3) is a geovisual analytics framework and web application that supports overview + detail analysis of social media, focusing on extracting meaningful information from the Twitterverse. SP3 leverages social media related to crisis events. It differs from most existing systems by enabling an analyst to obtain place-relevant information from tweets that have implicit as well as explicit geography. Specifically, SP3 includes not just the ability to utilize the explicit geography of geolocated tweets but also analyze implicit geography by recognizing and geolocating references in both tweet text, which indicates locations tweeted about, and in Twitter profiles, which indicates locations affiliated with users. Key features of SP3 reported here include flexible search and filtering capabilities to support information foraging; an ingest, processing, and indexing pipeline that produces near real-time access for big streaming data; and a novel strategy for implementing a web-based multi-view visual interface with dynamic linking of entities across views. The SP3 system architecture was designed to support crisis management applications, but its design flexibility makes it easily adaptable to other domains. We also report on a user study that provided input to SP3 interface design and suggests next steps for effective spatiotemporal analytics using social media sources. Numéro de notice : A2018-272 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2017.1370391 Date de publication en ligne : 11/09/2017 En ligne : https://doi.org/10.1080/15230406.2017.1370391 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90336 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2018051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data / Anthony C. Robinson in Cartography and Geographic Information Science, Vol 44 n° 3 (May 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 3 (May 2017) . - pp 216 - 228 Titre : Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data Type de document : Article/Communication Auteurs : Anthony C. Robinson, Auteur ; Donna J. Peuquet, Auteur ; Scott Pezanowski, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 216 - 228 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatiale [Termes IGN] dimension temporelle [Termes IGN] données issues des réseaux sociaux [Termes IGN] évaluation [Termes IGN] exploration de données [Termes IGN] géolocalisation [Termes IGN] géovisualisation [Termes IGN] Syrie [Vedettes matières IGN] Géovisualisation Résumé : (auteur) It remains difficult to develop a clear understanding of geo-located events and their relationships to one another, particularly when it comes to identifying patterns of events in less-structured textual sources, such as news feeds and social media streams. Here we present a geovisualization tool that can leverage computational methods, such as T-pattern analysis, for extracting patterns of interest from event data streams. Our system, STempo, includes coordinated-view geovisualization components designed to support visual exploration and analysis of event data, and patterns extracted from those data, in terms of time, geography, and content. Through a user evaluation, we explore the usability and utility of STempo for understanding patterns of recent political, social, economic, and military events in Syria. Numéro de notice : A2017-208 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2016.1139467 En ligne : http://dx.doi.org/10.1080/15230406.2016.1139467 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85043 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2017031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Symbol stores: sharing maps symbol for emergency management / Anthony C. Robinson in Cartography and Geographic Information Science, vol 40 n° 5 (November 2013)  

Public [article]  inCartography and Geographic Information Science > vol 40 n° 5 (November 2013) . - pp 415 - 426 Titre : Symbol stores: sharing maps symbol for emergency management Type de document : Article/Communication Auteurs : Anthony C. Robinson, Auteur ; Scott Pezanowski, Auteur ; Sarah Troedson, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 415 - 426 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Rédaction cartographique [Termes IGN] cartographie d'urgence [Termes IGN] communication cartographique [Termes IGN] partage de données localisées [Termes IGN] signe conventionnel [Termes IGN] symbole graphique Résumé : (auteur) Maps are a primary means for supporting information sharing and collaboration in emergency management and crisis situations. While a variety of formalized map symbol standards for emergency contexts exist, they have not been widely adopted by mapmakers. Informal symbol conventions are commonly used within emergency management stakeholder groups, but until now there has not been a flexible mechanism for discovering, sharing, and previewing these symbol sets among mapmakers. In this paper, we describe the design and development of the Symbol Store, a visually enabled, web-based interactive tool intended to help mapmakers share point symbols. The Symbol Store allows users to browse symbols by keyword, category tags, and contributors. It also allows for symbols to be previewed on realistic maps prior to download. An initial prototype of the Symbol Store was evaluated by flood mapping experts from the State of California, and the results of this user study led to multiple refinements now implemented in the public version of Symbol Store located at www.symbolstore.org. Numéro de notice : A2013-785 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2013.803833 En ligne : https://doi.org/10.1080/15230406.2013.803833 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76132 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2013051	RAB	Revue	Centre de documentation	En réserve L003	Disponible