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NeuroTPR: A neuro‐net toponym recognition model for extracting locations from social media messages / Jimin Wang in Transactions in GIS, Vol 24 n° 3 (June 2020)  

Public [article]  inTransactions in GIS > Vol 24 n° 3 (June 2020) . - pp 719 - 735 Titre : NeuroTPR: A neuro‐net toponym recognition model for extracting locations from social media messages Type de document : Article/Communication Auteurs : Jimin Wang, Auteur ; Yingjie Hu, Auteur ; Kenneth Joseph, Auteur Année de publication : 2020 Article en page(s) : pp 719 - 735 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] catastrophe naturelle [Termes IGN] données issues des réseaux sociaux [Termes IGN] données localisées des bénévoles [Termes IGN] flux de travaux [Termes IGN] géolocalisation [Termes IGN] précision sémantique [Termes IGN] reconnaissance de noms [Termes IGN] réseau neuronal récurrent [Termes IGN] réseau social [Termes IGN] toponyme Résumé : (auteur) Social media messages, such as tweets, are frequently used by people during natural disasters to share real‐time information and to report incidents. Within these messages, geographic locations are often described. Accurate recognition and geolocation of these locations are critical for reaching those in need. This article focuses on the first part of this process, namely recognizing locations from social media messages. While general named entity recognition tools are often used to recognize locations, their performance is limited due to the various language irregularities associated with social media text, such as informal sentence structures, inconsistent letter cases, name abbreviations, and misspellings. We present NeuroTPR, which is a Neuro‐net ToPonym Recognition model designed specifically with these linguistic irregularities in mind. Our approach extends a general bidirectional recurrent neural network model with a number of features designed to address the task of location recognition in social media messages. We also propose an automatic workflow for generating annotated data sets from Wikipedia articles for training toponym recognition models. We demonstrate NeuroTPR by applying it to three test data sets, including a Twitter data set from Hurricane Harvey, and comparing its performance with those of six baseline models. Numéro de notice : A2020-445 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12627 Date de publication en ligne : 14/05/2020 En ligne : https://doi.org/10.1111/tgis.12627 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95508 [article]

Knowledge-based data enrichment for HBIM: Exploring high-quality models using the semantic-web / Ramona Quattrini in Journal of Cultural Heritage, vol 28 (November–December 2017)  

Public [article]  inJournal of Cultural Heritage > vol 28 (November–December 2017) Titre : Knowledge-based data enrichment for HBIM: Exploring high-quality models using the semantic-web Type de document : Article/Communication Auteurs : Ramona Quattrini, Auteur ; Roberto Pierdicca, Auteur ; Christian Morbidoni, Auteur Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] flux de travaux [Termes IGN] interopérabilité [Termes IGN] modélisation 3D du bâti BIM [Termes IGN] monument historique [Termes IGN] ontologie [Termes IGN] RDF [Termes IGN] visualisation 3D [Termes IGN] web sémantique [Vedettes matières IGN] Géovisualisation Résumé : (auteur) In the last decade, the paradigm Historical Building Information Modeling (HBIM) was investigated to exploit the possibilities offered by the application of BIM to historical buildings. In the Cultural Heritage domain, the BIM-oriented approach can produce 3D models that are data collector populated by both geometrical and non-geometrical information related to various themes: historical documents, monitoring data, structural information, conservation or restoration state and so on. The realization of a 3D model fully interoperable and rich in its informative content could represent a very important change towards a more efficient management of the historical real estate. The work presented in these pages outlines a novel approach to solve this interoperability issue, by developing and testing a workflow that exploits the advantages of BIM platforms and Semantic-Web technologies, enabling the user to query a repository composed of semantically structured and rich HBIM data. The presented pipeline follows four main steps: (i) the first step consists on modeling an ontology with the main information needs for the domain of interest, providing a data structure that can be leveraged to inform the data-enrichment phase and, later, to meaningfully query the data. (ii) Afterwards, the data enrichment was performed, by creating a set of shared parameters reflecting the properties in our domain ontology. (iii) To structure data in a machine-readable format, a data conversion was needed to represent the domain (ontology) and analyze data of specific buildings respectively; this step is mandatory to reuse the analysis data together with the 3D model, providing the end-user with a querying tool. (iv) As a final step in our workflow, we developed a demonstrative data exploration web application based on the faceted browsing paradigm and allowing to exploit both structured metadata and 3D visualization. This research demonstrates how is possible to represent a huge amount of specialized information models with appropriate LOD and Grade in BIM environment and then guarantee a complete interoperability with IFC/RDF format. Relying on semantically structured data (ontologies) and on the Linked Data stack appears a valid approach for addressing existing information system issues in the CH domain and constitutes a step forward in the management of repositories and web libraries devoted to historical buildings. Numéro de notice : A2017-231 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.culher.2017.05.004 En ligne : https://doi.org/10.1016/j.culher.2017.05.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85144 [article]

Linked Data and SDI: The case on Web geoprocessing workflows / Peng Yue in ISPRS Journal of photogrammetry and remote sensing, vol 114 (April 2016)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 114 (April 2016) . - pp 245 – 257 Titre : Linked Data and SDI: The case on Web geoprocessing workflows Type de document : Article/Communication Auteurs : Peng Yue, Auteur ; Xia Guo, Auteur ; Mingda Zhang, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 245 – 257 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] flux de travaux [Termes IGN] géomatique web [Termes IGN] ModelBuilder [Termes IGN] partage de données localisées [Termes IGN] service web géographique [Termes IGN] traitement de données localisées [Termes IGN] web des données Résumé : (auteur) Linked Data transforms traditional ways of structuring, publishing, discovering, accessing, and integrating data. The advantages of Linked Data, including the common data model, standardized data access mechanism, and link-based data discovery, allow effective sharing and discovery of geospatial resources in Spatial Data Infrastructures (SDI). Web geoprocessing workflows have been widely used in SDI to support distributed geoprocessing. Geospatial data and services are discovered from SDI and chained as geoprocessing workflows. Workflow results can be published as new resources in SDI. The whole process could be improved by the Linked Data approach, so that sensors, observations, data, services, workflows, and provenance can be linked and published into the Web of Data. This paper explores the integration of Linked Data and Web geoprocessing workflows by discovering geospatial resources in the Web of Data to build geoprocessing workflows. It adopts the Linked Data approach to publish geospatial data including in-situ observations and satellite images, as well as geospatial Web services. The workflow results, including data products and processing steps, are also exposed as Linked Data in turn for tracing provenance. The results not only support semantic discovery and integration of heterogeneous geospatial resources, but also provide transparency in data sharing and processing. The approach is implemented as extensions to an existing geoprocessing workflow tool, GeoJModelBuilder, to illustrate its applicability. Numéro de notice : A2016-536 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.11.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.11.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81680 [article]

An inference-based framework to manage data provenance in geoscience applications / Mohammad Rezwanul Huq in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5113 - 5130 Titre : An inference-based framework to manage data provenance in geoscience applications Type de document : Article/Communication Auteurs : Mohammad Rezwanul Huq, Auteur ; Peter M.G. Apers, Auteur ; Andreas Wombacher, Auteur Année de publication : 2013 Article en page(s) : pp 5113 - 5130 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] flux de travaux [Termes IGN] inférence [Termes IGN] moteur d'inférence [Termes IGN] source de données [Termes IGN] synergiciel [Termes IGN] traitement de données localisées Résumé : (Auteur) Data provenance allows scientists to validate their model as well as to investigate the origin of an unexpected value. Furthermore, it can be used as a replication recipe for output data products. However, capturing provenance requires enormous effort by scientists in terms of time and training. First, they need to design the workflow of the scientific model, i.e., workflow provenance, which requires both time and training. However, in practice, scientists may not document any workflow provenance before the model execution due to the lack of time and training. Second, they need to capture provenance while the model is running, i.e., fine-grained data provenance. Explicit documentation of fine-grained provenance is not feasible because of the massive storage consumption by provenance data in the applications, including those from the geoscience domain where data are continuously arriving and are processed. In this paper, we propose an inference-based framework, which provides both workflow and fine-grained data provenance at a minimal cost in terms of time, training, and disk consumption. Our proposed framework is applicable to any given scientific model, and is capable of handling different model dynamics, such as variation in the processing time as well as input data products arrival pattern. Our evaluation of the framework in a real use case with geospatial data shows that the proposed framework is relevant and suitable for scientists in geoscientific domain. Numéro de notice : A2013-613 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2247769 En ligne : https://doi.org/10.1109/TGRS.2013.2247769 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32749 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2013111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Earth Observation scientific workflows in a distributed computing environment / T. Van Zyl in Transactions in GIS, vol 16 n° 2 (April 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 2 (April 2012) . - pp 233 - 248 Titre : Earth Observation scientific workflows in a distributed computing environment Type de document : Article/Communication Auteurs : T. Van Zyl, Auteur ; A. Vahed, Auteur ; G. Mcferren, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 233 - 248 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] flux de travaux [Termes IGN] image Terra-MODIS [Termes IGN] PostGIS [Termes IGN] PostgreSQL [Termes IGN] Web Processing Service Résumé : (Auteur) Geospatially Enabled Scientific Workflows offer a promising toolset to help researchers in the earth observation domain with many aspects of the scientific process. One such aspect is that of access to distributed earth observation data and computing resources. Earth observation research often utilizes large datasets requiring extensive CPU and memory resources in their processing. These resource intensive processes can be chained; the sequence of processes (and their provenance) makes up a scientific workflow. Despite the exponential growth in capacity of desktop computers, their resources are often insufficient for the scientific workflow processing tasks at hand. By integrating distributed computing capabilities into a geospatially enabled scientific workflow environment, it is possible to provide researchers with a mechanism to overcome the limitations of the desktop computer. Most of the effort on extending scientific workflows with distributed computing capabilities has focused on the web services approach, as exemplified by the OGC's Web Processing Service and by GRID computing. The approach to leveraging distributed computing resources described in this article uses instead remote objects via RPyC and the dynamic properties of the Python programming language. The Vistrails environment has been extended to allow for geospatial processing through the EO4Vistrails package (http://code.google.com/p/eo4vistrails/). In order to allow these geospatial processes to be seamlessly executed on distributed resources such as cloud computing nodes, the Vistrails environment has been extended with both multi-tasking capabilities and distributed processing capabilities. The multi-tasking capabilities are required in order to allow Vistrails to run side-by-side processes, a capability it does not currently have. The distributed processing capabilities are achieved through the use of remote objects and mobile code through RPyC. Numéro de notice : A2012-162 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01317.x Date de publication en ligne : 13/04/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01317.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31609 [article]

Automatic geospatial metadata generation for earth science virtual data products / P. Yue in Geoinformatica, vol 16 n° 1 (January 2012)  

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n° 43 - septembre 2011 - Choisir ses logiciels [Documentation, archives, GED, ECM, workflow, records management, archivage électronique] (Bulletin de Guide pratique Archimag) / Archimag

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Citizens as sensors for natural hazards: a VGI integration workflow / B. De Longueville in Geomatica, vol 64 n° 1 (March 2010)  

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Italian military standardizes on 1:25,000-scale database: a unified map workflow / G. Amadio in Geoinformatics, vol 7 n° 7 (01/10/2004)

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Database and expert systems applications, 15th International Conference, DEXA 2004, Zaragoza, Spain, August/September 2004 / Fernando Galindo (2004)  

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La gestion électronique documentaire / J.Y. Prax (2004)

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Réseaux de (géo) services : vers une architecture ouverte de services / François Golay in Revue internationale de géomatique, vol 13 n° 3 (septembre - novembre 2003)  

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Intranet solutions gives users real-time access to maps: distributing information across a company nationwide / M.J. Wagner in Geoinformatics, vol 3 n° 4 (01/06/2000)

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Database and expert systems applications / Mohamed Ibrahim (2000)  

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Eleven International Workshop on Database and expert systems applications / A M Tjoa (2000)  

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