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Methodological proposals to handle imperfect spatial and temporal information in the context of natural hazard studies / Mouna Snoussi in Revue internationale de géomatique, vol 23 n° 3 - 4 (septembre 2013 - février 2014)
[article]
Titre : Methodological proposals to handle imperfect spatial and temporal information in the context of natural hazard studies Type de document : Article/Communication Auteurs : Mouna Snoussi, Auteur ; Paule-Annick Davoine, Auteur Année de publication : 2013 Article en page(s) : pp 495 - 517 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] données spatiotemporelles
[Termes IGN] géopositionnement
[Termes IGN] langage naturel (informatique)
[Termes IGN] ontologie
[Termes IGN] précision des données
[Termes IGN] représentation cartographique
[Termes IGN] risque naturelRésumé : (Auteur) Natural hazard analysis often makes use of alphanumeric data sets whose content is mainly expressed using natural language expressions that describe where and when events such as eruptions, avalanches, floods, etc. took place. However, a lot of expressions used in natural language are vague and imprecise and especially those which are used to locate places (around, near to, north of, etc.) and dates (between 1710 and 1711, at the beginning of the century, etc.). Some works propose approaches to define a spatial expansion representing the localization of any vague spatial information. Yet, these approaches do not allow to define any spatial or temporal localization that takes into account their physical environment: topographical or meteorological elements of the studied ground, nature and the characteristics of the observed phenomenon, etc. We propose a methodology that allows to improve the localization and the cartographic representation of imperfect spatial and temporal information. This methodology relies on a specific extension of Spatial ML and TimeML markup languages and an ontology for the integration, quantification and representation of imperfect spatio-temporal information expressed in natural language in order to locate natural hazard phenomena. In this paper, we present the elements of the STELLA (Spatial - TEmporal LocaLizAtion) methodology and framework . Numéro de notice : A2013-722 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3166/rig.23.495-517 En ligne : https://doi.org/10.3166/rig.23.495-517 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32858
in Revue internationale de géomatique > vol 23 n° 3 - 4 (septembre 2013 - février 2014) . - pp 495 - 517[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 047-2013031 SL Revue Centre de documentation Revues en salle Exclu du prêt Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing): a case study in 2012 US Presidential Election / Ming-Hsiang Tsou in Cartography and Geographic Information Science, vol 40 n° 4 (September 2013)
[article]
Titre : Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing): a case study in 2012 US Presidential Election Type de document : Article/Communication Auteurs : Ming-Hsiang Tsou, Auteur ; Jiue-An Yang, Auteur ; Brian Spitzberg, Auteur ; Jean Marc Gawron, Auteur ; Dipak Gupta, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 337 - 348 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse diachronique
[Termes IGN] comportement
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] élection
[Termes IGN] estimation par noyau
[Termes IGN] Etats-Unis
[Termes IGN] logiciel de navigation
[Termes IGN] moteur de recherche
[Termes IGN] ontologie
[Termes IGN] TwitterRésumé : (Auteur) We introduce a new research framework for analyzing the spatial distribution of web pages and social media (Twitter) messages with related contents, called Visualizing Information Space in Ontological Networks (VISION). This innovative method can facilitate the tracking of ideas and social events disseminated in cyberspace from a spatial-temporal perspective. Thousands of web pages and millions of tweets associated with the same keywords were converted into visualization maps using commercial web search engines (Yahoo application programming interface (API) and Bing API), a social media search engine (Twitter APIs), Internet Protocol (IP) geolocation methods, and Geographic Information Systems (GIS) functions (e.g., kernel density and raster-based map algebra methods). We found that comparing multiple web information landscapes with different keywords or different dates can reveal important spatial patterns and “geospatial fingerprints” for selected keywords. We used the 2012 US Presidential Election candidates as our case study to validate this method. We noticed that the weekly changes of the geographic probability of hosting “Barack Obama” or “Mitt Romney” web pages are highly related to certain major campaign events. Both attention levels and the content of the tweets were deeply impacted by Hurricane Sandy. This new approach may provide a new research direction for studying human thought, human behaviors, and social activities quantitatively. Numéro de notice : A2013-762 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2013.799738 En ligne : https://doi.org/10.1080/15230406.2013.799738 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32898
in Cartography and Geographic Information Science > vol 40 n° 4 (September 2013) . - pp 337 - 348[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2013041 RAB Revue Centre de documentation En réserve L003 Disponible Semantic orchestration of image processing services for environmental analysis / élisabeth Ranisavljevic' in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)
[article]
Titre : Semantic orchestration of image processing services for environmental analysis Type de document : Article/Communication Auteurs : élisabeth Ranisavljevic', Auteur ; Florent Devin, Auteur ; Dominique Laffly, Auteur ; Yannick Le Nir, Auteur Année de publication : 2013 Article en page(s) : pp 184 - 192 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse spatio-temporelle
[Termes IGN] géomatique web
[Termes IGN] implémentation (informatique)
[Termes IGN] ontologie
[Termes IGN] prototype
[Termes IGN] séquence d'images
[Termes IGN] service web géographique
[Termes IGN] SPARQLRésumé : (Auteur) In order to analyze environmental dynamics, a major process is the classification of the different phenomena of the site (e.g. ice and snow for a glacier). When using in situ pictures, this classification requires data pre-processing. Not all the pictures need the same sequence of processes depending on the disturbances. Until now, these sequences have been done manually, which restricts the processing of large amount of data. In this paper, we present how to realize a semantic orchestration to automate the sequencing for the analysis. It combines two advantages: solving the problem of the amount of processing, and diversifying the possibilities in the data processing. We define a BPEL description to express the sequences. This BPEL uses some web services to run the data processing. Each web service is semantically annotated using an ontology of image processing. The dynamic modification of the BPEL is done using SPARQL queries on these annotated web services. The results obtained by a prototype implementing this method validate the construction of the different workflows that can be applied to a large number of pictures. Numéro de notice : A2013-495 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.06.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.06.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32633
in ISPRS Journal of photogrammetry and remote sensing > vol 83 (September 2013) . - pp 184 - 192[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013091 RAB Revue Centre de documentation En réserve L003 Disponible Advances in Geographic Object-Based Image Analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective / Damien Arvor in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)
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Titre : Advances in Geographic Object-Based Image Analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective Type de document : Article/Communication Auteurs : Damien Arvor, Auteur ; Laurent Durieux, Auteur ; Samuel Andrés, Auteur ; Marie-Angélique Laporte, Auteur Année de publication : 2013 Article en page(s) : pp 125 - 137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse d'image orientée objet
[Termes IGN] interprétation automatique
[Termes IGN] objet géographique
[Termes IGN] occupation du sol
[Termes IGN] ontologie
[Termes IGN] photo-interprétation assistée par ordinateurRésumé : (Auteur) Geographic Object-Based Image Analysis (GEOBIA) represents the most innovative new trend for processing remote sensing images that has appeared during the last decade. However, its application is mainly based on expert knowledge, which consequently highlights important scientific issues with respect to the robustness of the methods applied in GEOBIA. In this paper, we argue that GEOBIA would benefit from another technical enhancement involving knowledge representation techniques such as ontologies. Although the role of ontologies in Geographical Information Sciences (GISciences) is not a new topic, few works have discussed how ontologies, considered from the perspective of a remote sensing specialist, can contribute to advancing remote sensing science. We summarize the main applications of ontologies in GEOBIA, especially for data discovery, automatic image interpretation, data interoperability, workflow management and data publication. Finally, we discuss the major issues related to the construction of ontologies suitable for remote sensing applications and outline long-term future advances that can be expected for the remote sensing community. Numéro de notice : A2013-414 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.05.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.05.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32552
in ISPRS Journal of photogrammetry and remote sensing > vol 82 (August 2013) . - pp 125 - 137[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013081 RAB Revue Centre de documentation En réserve L003 Disponible Finding science with science: Evaluating a domain and scientific ontology user interface for the discovery of scientific resources / Kristin Stock in Transactions in GIS, vol 17 n° 4 (August 2013)
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Titre : Finding science with science: Evaluating a domain and scientific ontology user interface for the discovery of scientific resources Type de document : Article/Communication Auteurs : Kristin Stock, Auteur ; Vera Karasova, Auteur ; Anne Robertson, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 612 - 639 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique
[Termes IGN] étiquette
[Termes IGN] exploration de données
[Termes IGN] interface utilisateur
[Termes IGN] ontologieRésumé : (Auteur) Current approaches to the discovery of scientific resources (publications, data sets and web services) are dominated by keyword search. These approaches do not allow scientists to search on the deeper semantics of scientific resources, or to discover resources on the basis of the scientific approaches taken. This article evaluates a user interface that allows users to discover scientific resources through structured knowledge in the form of ontologies describing the domain and the scientific knowledge inherent within the scientific resource, and also through informal user tags. These combined capabilities provide scientists with new and powerful options for resource discovery. A qualitative user evaluation explored how scientists felt about the approach for resource discovery in the context of their scientific work. The study showed that marine scientists were enthusiastic about the capabilities of such an approach and appreciated the ability to browse the visual structure of the knowledge and query on scientific method but, overall, preferred the use of tags over ontologies. The exploratory nature of the user study was used to identify future directions for such improvements. Numéro de notice : A2013-474 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01370.x Date de publication en ligne : 26/12/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01370.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32612
in Transactions in GIS > vol 17 n° 4 (August 2013) . - pp 612 - 639[article]Geo-social model: A conceptual framework for real-time geocollaboration / Zheng Chang in Transactions in GIS, vol 17 n° 2 (April 2013)PermalinkThe basic formal ontology as a reference framework for modeling the evolution of administrative units / Felix Gantner in Transactions in GIS, vol 17 n° 2 (April 2013)PermalinkAdvances In Knowledge Discovery and Management, ch. 8. Ontology-based formal specifications for user-friendly geospatial data discovery / Ammar Mechouche (2013)PermalinkPermalinkGénérer une emprise de carte à partir des toponymes d’un texte / Geoffrey Brun (2013)PermalinkPermalinkShared Earth modeling / Michel Perrin (2013)PermalinkPermalinkPermalinkGeospatial information integration for authoritative and crowd sourced road vector data / H. Du in Transactions in GIS, vol 16 n° 4 (August 2012)Permalink