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OpenStreetMap data quality enrichment through awareness raising and collective action tools—experiences from a European project / Amin Mobasheri in Geo-spatial Information Science, vol 21 n° 3 (October 2018)
[article]
Titre : OpenStreetMap data quality enrichment through awareness raising and collective action tools—experiences from a European project Type de document : Article/Communication Auteurs : Amin Mobasheri, Auteur ; Alexander Zipf, Auteur ; Louise Francis, Auteur Année de publication : 2018 Article en page(s) : pp 234 - 246 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] accessibilité
[Termes IGN] données localisées des bénévoles
[Termes IGN] enrichissement sémantique
[Termes IGN] Europe (géographie politique)
[Termes IGN] exhaustivité des données
[Termes IGN] handicap
[Termes IGN] OpenStreetMap
[Termes IGN] qualité des données
[Termes IGN] segmentation sémantique
[Termes IGN] villeRésumé : (Auteur) Nowadays, several research projects show interest in employing volunteered geographic information (VGI) to improve their systems through using up-to-date and detailed data. The European project CAP4Access is one of the successful examples of such international-wide research projects that aims to improve the accessibility of people with restricted mobility using crowdsourced data. In this project, OpenStreetMap (OSM) is used to extend OpenRouteService, a well-known routing platform. However, a basic challenge that this project tackled was the incompleteness of OSM data with regards to certain information that is required for wheelchair accessibility (e.g. sidewalk information, kerb data, etc.). In this article, we present the results of initial assessment of sidewalk data in OSM at the beginning of the project as well as our approach in awareness raising and using tools for tagging accessibility data into OSM database for enriching the sidewalk data completeness. Several experiments have been carried out in different European cities, and discussion on the results of the experiments as well as the lessons learned are provided. The lessons learned provide recommendations that help in organizing better mapping party events in the future. We conclude by reporting on how and to what extent the OSM sidewalk data completeness in these study areas have benefited from the mapping parties by the end of the project. Numéro de notice : A2018-645 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2018.1493817 Date de publication en ligne : 21/09/2018 En ligne : https://doi.org/10.1080/10095020.2018.1493817 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93315
in Geo-spatial Information Science > vol 21 n° 3 (October 2018) . - pp 234 - 246[article]A framework for annotating OpenStreetMap objects using geo-tagged tweets / Xin Chen in Geoinformatica, vol 22 n° 3 (July 2018)
[article]
Titre : A framework for annotating OpenStreetMap objects using geo-tagged tweets Type de document : Article/Communication Auteurs : Xin Chen, Auteur ; Hoang Vo, Auteur ; Yu Wang, Auteur ; Fusheng Wang, Auteur Année de publication : 2018 Article en page(s) : pp 589 - 613 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] corpus
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] données localisées des bénévoles
[Termes IGN] enrichissement sémantique
[Termes IGN] géobalise
[Termes IGN] intégration de données
[Termes IGN] objet géographique
[Termes IGN] OpenStreetMap
[Termes IGN] TwitterRésumé : (Auteur) Recent years have witnessed an explosion of geospatial data, especially in the form of Volunteered Geographic Information (VGI). As a prominent example, OpenStreetMap (OSM) creates a free editable map of the world from a large number of contributors. On the other hand, social media platforms such as Twitter or Instagram supply dynamic social feeds at population level. As much of such data is geo-tagged, there is a high potential on integrating social media with OSM to enrich OSM with semantic annotations, which will complement existing objective description oriented annotations to provide a broader range of annotations. In this paper, we propose a comprehensive framework on integrating social media data and VGI data to derive knowledge about geographical objects, specifically, top relevant annotations from tweets for objects in OSM. We first integrate geo-tagged tweets with OSM data with scalable spatial queries running on MapReduce. We propose a frequency based method for annotating boundary based geographic objects (a polygon), and a probability based method for annotating point based geographic objects (Latitude and Longitude), with consideration of noise. We evaluate our methods using a large geo-tagged tweets corpus and representative geographic objects from OSM, which demonstrates promising results through ground-truth comparison and case studies. We are able to produce up to 80% correct names for geographical objects and discover implicitly relevant information, such as popular exhibitions of a museum, the nicknames or visitors’ impression to a tourism attraction. Numéro de notice : A2018-369 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10707-018-0323-8 Date de publication en ligne : 20/06/2018 En ligne : https://doi.org/10.1007/s10707-018-0323-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90760
in Geoinformatica > vol 22 n° 3 (July 2018) . - pp 589 - 613[article]
Titre : Visual analytics of human mobility behavior Type de document : Thèse/HDR Auteurs : Robert Lutz Krüger, Auteur ; Thomas Ertl, Directeur de thèse ; Ross Maciejewski, Directeur de thèse Editeur : Stuttgart : University of Stuttgart Année de publication : 2017 Importance : 212 p. Format : 21 x 30 cm Note générale : Bibliographie
Von der Fakultät Informatik, Elektrotechnik und Informationstechnik der Universität Stuttgart zur Erlangung der Würde eines Doktors der Naturwissenschaften (Dr. rer. nat.), genehmigte AbhandlungLangues : Anglais (eng) Descripteur : [Termes IGN] acquisition de données
[Termes IGN] analyse visuelle
[Termes IGN] base de données localisées
[Termes IGN] comportement
[Termes IGN] données de terrain
[Termes IGN] données socio-économiques
[Termes IGN] enrichissement sémantique
[Termes IGN] exploration de données géographiques
[Termes IGN] mobilité humaine
[Termes IGN] modélisation
[Termes IGN] trajet (mobilité)
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) Human mobility plays an important role in many domains of today’s society, such as security, logistics, transportation, urban planning, and geo-marketing. Both, government and industry thus have great interest in understanding mobility patterns and their driving social, economical, and environmental causes and effects. While
stakeholders had to rely on manual traffic surveys for a long time, improvements in tracking technology made analyses based on large digital datasets possible. Recently, the omnipresence of mobile devices significantly increased the amounts of collected movement and context data. People are willing to reveal their position, but also further personal details such as visited places, observations, events, news, and sentiments in exchange for personalized services and social networking. This opens up new possibilities for many domains where a semantic mobility understanding is required but also raises major challenges. To reveal a holistic picture, heterogeneous datasets of different services with different resolution and format have to be fused and analyzed. However, social sensing data is vast, has varying scale, is unevenly distributed, and constantly updated. Especially content from social media services is often inconsistent, unreliable, and incomplete, which requires special treatment. Fully automatic mapping approaches are not trustworthy as they do not take into account these uncertainties. At the same time, manual approaches become insufficient with large amounts of data. Even when data is perfectly aligned, analysts cannot purely rely on existing techniques. Answering questions about reasons for movement requires a broader perspective that takes into account environmental and social context, the driving forces for human mobility behavior. Visual analytics is an emerging research field to tackle such challenges. It creates added value by combining the processing power and accuracy of machines with human capabilities to perceive information visually. Automatic means are used to fuse and aggregate data and to detect hidden patterns therein. Interactive visualizations allow to explore and query the data and to steer the automatic processes with domain knowledge. This increases trust in data, models, and results, which is especially important when critical decisions need to be made. The strengths of visual analytics have been shown to be particularly advantageous when problems and goals are underspecified and exploratory means are needed to discover yet unknown patterns.
This thesis presents novel visual analytics approaches to derive meaning and reasons behind movement, by taking into account the aforementioned characteristics. The approaches are aligned in a holistic process model covering all steps from data retrieval, enrichment, exploration, and verification to externalization of gained knowledge for various fields of application such as electric mobility, event management, and law enforcement. It is shown how data from social media can not only be used to retrieve up-to-date movement information, but also to enrich movement trajectories from other sources with structured and unstructured information about places, events, transactions, and other observations. Through highly interactive visual interfaces analysts can bring in domain knowledge to deal with uncertainties during data fusion and to steer the subsequent semantic analysis. Exploratory and confirmatory analysis techniques are presented to create hypotheses, refine them, and find support in the data. Analysts can discover routines and abnormal behavior with assistance of automatic pattern detection methods to cope with the vast amounts of data. Spatial drill-down is supported by a set-based focus+context technique, while a more abstract visual query language allows to explicitly formulate, extract, and query for movement patterns. The approaches are applied in different scenarios and are integrated in a visual analytics system. Evaluation with experts and novice users, case studies, and comparisons to ground truth data reveal the need and effectiveness of the contributions. Overall, the thesis contributes a visual analytics process for human mobility behavior with novel semantic analysis approaches, ranging from global movements of many to local activities of a few people, for a wide range of application domains.Note de contenu : Introduction
1 - From Foundations to Applications
2 - Movement Data Retrieval and Visual Representation
3 - Semantic Enrichment with Context Data
4 - Interactive Filtering
5 - Pattern Detection and Verification
6 - MOBY - The Mobility Analysis System
Conclusion and OutlookNuméro de notice : 21573 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Thèse étrangère Note de thèse : PhD Dissertation : Informatik, Elektrotechnik und Informationstechnik : Universität Stuttgart : 2017 DOI : sans En ligne : http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-97337 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90574 European handbook of crowdsourced geographic information, ch. 14. Querying VGI by semantic enrichment / Robert Lemmens (2016)
Titre de série : European handbook of crowdsourced geographic information, ch. 14 Titre : Querying VGI by semantic enrichment Type de document : Chapitre/Contribution Auteurs : Robert Lemmens, Auteur ; Gilles Falquet, Auteur ; Stefano de Sabbata, Auteur ; Bin Jiang, Auteur ; Bénédicte Bucher , Auteur Editeur : Londres : Ubiquity press Année de publication : 2016 Importance : pp 185 - 194 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] données hétérogènes
[Termes IGN] données localisées des bénévoles
[Termes IGN] enrichissement sémantique
[Termes IGN] folksonomie
[Termes IGN] langage naturel (informatique)
[Termes IGN] ontologie
[Termes IGN] OpenStreetMap
[Termes IGN] recherche d'information géographique
[Termes IGN] requête (informatique)Résumé : (auteur) Volunteered geographic information (VGI) plays an increasing role in current geodata provision. At the same time, due to its lack of structure, it is hard to use as meaningful input in software applications. In this chapter, we embark upon the unstructured character of VGI and on ways to enrich the structure in order to make it suitable for information retrieval. We describe the characteristics of semantic enrichment and explain how folksonomies and ontologies play a role. We believe that they represent different levels of formality in a semantic reference space and determine the richness of the information retrieval. Numéro de notice : H2016-004 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Autre URL associée : vers HAL Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.5334/bax En ligne : https://doi.org/10.5334/bax Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83786 Documents numériques
en open access
Querying VGI by semantic enrichmentAdobe Acrobat PDF A temporal-contextual analysis of urban dynamics using location-based data / A. Yair Grinberger in International journal of geographical information science IJGIS, vol 29 n° 11 (November 2015)
[article]
Titre : A temporal-contextual analysis of urban dynamics using location-based data Type de document : Article/Communication Auteurs : A. Yair Grinberger, Auteur ; Noam Shoval, Auteur Année de publication : 2015 Article en page(s) : pp 1969 - 1987 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] dynamique spatiale
[Termes IGN] enrichissement sémantique
[Termes IGN] information sémantique
[Termes IGN] itinéraire
[Termes IGN] Jérusalem
[Termes IGN] mobilité urbaine
[Termes IGN] modèle numérique de déplacement
[Termes IGN] positionnement par GPS
[Termes IGN] prise en compte du contexte
[Termes IGN] trace numérique
[Termes IGN] zone urbaineRésumé : (Auteur) The dynamics of urban activities in Jerusalem were studied by analyzing a large-scale semantically rich movement dataset. The semantic enrichment process was based on coupling movement trajectories sampled by GPS loggers with contextual data derived from trajectory-based digital activity dairies. Although the utility of such procedures in generating trajectory-specific semantic data was noted before, their application stays limited. In this paper, we promote the utilization of these procedures by demonstrating that they are not only feasible but also important for mobility studies. We discuss the characteristics of the semantic enrichment process and the manner by which it was applied within the large-scale analysis of urban dynamics. This application uncovered a time- and context-dependent array of centers in Jerusalem, resulting in a semantically rich characterization of urban dynamics. Such characterization provides otherwise unobtainable insights crucial for urban analysis. Wider implications for movement studies may be derived, as this application demonstrates how diary-based enrichment approaches hold the potential to advance bridging the semantic gap in mobility research. Numéro de notice : A2015-615 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1049951 En ligne : https://doi.org/10.1080/13658816.2015.1049951 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78082
in International journal of geographical information science IJGIS > vol 29 n° 11 (November 2015) . - pp 1969 - 1987[article]PermalinkBuilding pattern recognition in topographic data: examples on collinear and curvilinear alignments / Xiang Zhang in Geoinformatica, vol 17 n° 1 (January 2013)PermalinkModèle et langage pour la manipulation de trajectoires spatio-temporelles / D. Zheni Triki in Revue internationale de géomatique, vol 20 n° 1 (mars - mai 2010)PermalinkEnriching a 3D world with synthetic and visible information about the distribution of points of interest / Mickaël Brasebin (2010)PermalinkExtraction et Gestion des Connaissances, EGC 2008, 8es journées francophones, 29 janvier 2008, Sophia Antipolis, France / Marie-Aude Aufaure Portier (2008)PermalinkMethods for fine registration of cadastre graphs to images / Roger Trias-Sanz in IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, vol 29 n° 11 (November 2007)PermalinkPermalinkFormalisation des spécifications de bases de données géographiques pour une meilleure compréhension des données / Nils Gesbert (2004)PermalinkEtude de l'unification sémantique de Géoroute sur la BDTopo ; thème réseau routier / Ahmed Berroukech (2001)Permalink