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Quality assessment of heterogeneous training data sets for classification of urban area with Landsat imagery / Neema Nicodemus Lyimo in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 5 (May 2021)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 87 n° 5 (May 2021) . - pp 339-348 Titre : Quality assessment of heterogeneous training data sets for classification of urban area with Landsat imagery Type de document : Article/Communication Auteurs : Neema Nicodemus Lyimo, Auteur ; Fang Luo, Auteur ; Qimin Cheng, Auteur ; Hao Peng, Auteur Année de publication : 2021 Article en page(s) : pp 339-348 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] corrélation d'images [Termes IGN] distance euclidienne [Termes IGN] données d'apprentissage [Termes IGN] données hétérogènes [Termes IGN] données localisées des bénévoles [Termes IGN] données massives [Termes IGN] données ouvertes [Termes IGN] image Landsat [Termes IGN] incertitude des données [Termes IGN] jeu de données localisées [Termes IGN] qualité des données [Termes IGN] système à base de connaissances [Termes IGN] zone urbaine Résumé : (Auteur) Quality assessment of training samples collected from heterogeneous sources has received little attention in the existing literature. Inspired by Euclidean spectral distance metrics, this article derives three quality measures for modeling uncertainty in spectral information of open-source heterogeneous training samples for classification with Landsat imagery. We prepared eight test case data sets from volunteered geographic information and open government data sources to assess the proposed measures. The data sets have significant variations in quality, quantity, and data type. A correlation analysis verifies that the proposed measures can successfully rank the quality of heterogeneous training data sets prior to the image classification task. In this era of big data, pre-classification quality assessment measures empower research scientists to select suitable data sets for classification tasks from available open data sources. Research findings prove the versatility of the Euclidean spectral distance function to develop quality metrics for assessing open-source training data sets with varying characteristics for urban area classification. Numéro de notice : A2021-366 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.87.5.339 Date de publication en ligne : 01/05/2021 En ligne : https://doi.org/10.14358/PERS.87.5.339 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97695 [article]

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Mining the semantic Web for OWL axioms / Thu Huong Nguyen (2021)  

Public Titre : Mining the semantic Web for OWL axioms Titre original : Fouille du Web sémantique à la recherche d'axiomes OWL Type de document : Thèse/HDR Auteurs : Thu Huong Nguyen, Auteur ; Andrea Tettamanzi, Directeur de thèse Editeur : Nice : Université Côte d'Azur Année de publication : 2021 Importance : 175 p. Format : 21 x 30 cm Note générale : bibliographie Thèse de Doctorat présentée en vue de l’obtention du grade de docteur en Informatique de l’Université Côte d’Azur Langues : Français (fre) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] algorithme génétique [Termes IGN] données ouvertes [Termes IGN] exploration de données [Termes IGN] logique floue [Termes IGN] ontologie [Termes IGN] OWL [Termes IGN] RDF [Termes IGN] théorie des possibilités [Termes IGN] Web des données [Termes IGN] web sémantique Index. décimale : THESE Thèses et HDR Résumé : (auteur) In the Semantic Web era, Linked Open Data (LOD) is its most successful implementation, which currently contains billions of RDF (Resource Data Framework) triples derived from multiple, distributed, heterogeneous sources. The role of a general semantic schema, represented as an ontology, is essential to ensure the correctness and consistency in LOD and make it possible to infer implicit knowledge by reasoning. The growth of LOD creates an opportunity for the discovery of ontological knowledge from its raw RDF data itself to enrich relevant knowledge bases. In this work, we aim at discovering schema-level knowledge in the form of axioms encoded in OWL (Ontology Web Language) from RDF data. The approaches to automated generation of the axioms from recorded RDF facts on the Web may be regarded as a case of inductive reasoning and ontology learning. The instances, represented by RDF triples, play the role of specific observations, from which axioms can be extracted by generalization. Based on the insight that discovering new knowledge is essentially an evolutionary, whereby hypotheses are generated by some heuristic mechanism and then tested against the available evidence, so that only the best hypotheses survive, we propose a model applying Grammatical Evolution, one type of evolutionary algorithm, to mine OWL axioms from an RDF data repository. In addition, we specialize the model for the specific problem of learning OWL class disjointness axioms, along with the experiments performed on DBpedia, one of the prominent examples of LOD. Furthermore, we use different axiom scoring functions based on possibility theory, which are well-suited to the open world assumption scenario of LOD, to evaluate the quality of discovered axioms. Specifically, we proposed a set of measures to build objective functions based on single-objective and multi-objective models, respectively. Finally, in order to validate it, the performance of our approach is evaluated against subjective and objective benchmarks, and is also compared to the main state-of-the-art systems. Note de contenu : 1- Introduction 2- Foundation 3- Literature review 4- Learning OWL axioms from RDF data 5- Axiom evaluation 6- Grammatical evolution models toward class disjointness axiom discovery 7- A multi-objective GE approach to class disjointness axioms discovery 8- Conclusions & perspectives Numéro de notice : 28614 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/SOCIETE NUMERIQUE Nature : Thèse française Note de thèse : Thèse de Doctorat : Informatique : Côte d'Azur : 2021 Organisme de stage : I3S DOI : sans En ligne : https://tel.archives-ouvertes.fr/tel-03406784/document Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99492

Spatial dataset search: Building a dedicated knowledge graph / Mehdi Zhral (2021)  

Public Titre : Spatial dataset search: Building a dedicated knowledge graph Type de document : Article/Communication Auteurs : Mehdi Zhral , Auteur ; Bénédicte Bucher , Auteur ; Marie-Dominique Van Damme , Auteur ; Fayçal Hamdi , Auteur Editeur : AGILE Alliance Année de publication : 2021 Projets : 1-Pas de projet / Conférence : AGILE 2021, 24th AGILE Conference on Geographic Information Science 19/07/2021 22/07/2021 Aurora - Colorado Etats-Unis OA Proceedings Importance : 5 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] données massives [Termes IGN] données ouvertes [Termes IGN] graphe [Termes IGN] INSPIRE [Termes IGN] jeu de données localisées [Termes IGN] précision sémantique [Termes IGN] recherche d'information géographique [Termes IGN] requête spatiale [Termes IGN] réseau sémantique [Termes IGN] ressources web [Termes IGN] service web géographique [Termes IGN] terminologie [Termes IGN] Web des données Résumé : (auteur) A growing number of spatial datasets arepublished every year. These can usually be found indedicated web portals with different structures andspecificities. However, finding the dataset that fits userneeds is a real challenge as prior knowledge of theseportals is needed to retrieve it efficiently. In this article,we present the problem of spatial dataset search andhow the use of a geographic Knowledge Graph couldimprove it. A proposed direction for future work, ex-tending these contributions, is then presented. Numéro de notice : C2021-008 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : https://agile-giss.copernicus.org/articles/2/43/2021/agile-giss-2-43-2021.pdf Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/agile-giss-2-43-2021 En ligne : https://doi.org/10.5194/agile-giss-2-43-2021 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97855

A context sensitive approach to anonymizing public participation GIS data: From development to the assessment of anonymization effects on data quality / Kamyar Hasanzadeh in Computers, Environment and Urban Systems, vol 83 (September 2020)  

Public [article]  inComputers, Environment and Urban Systems > vol 83 (September 2020) . - n° 101513 Titre : A context sensitive approach to anonymizing public participation GIS data: From development to the assessment of anonymization effects on data quality Type de document : Article/Communication Auteurs : Kamyar Hasanzadeh, Auteur ; Anna Kajosaari, Auteur ; Dan Häggman, Auteur ; Marketta Kyttä, Auteur Année de publication : 2020 Article en page(s) : n° 101513 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] analyse spatiale [Termes IGN] anonymisation [Termes IGN] approche participative [Termes IGN] collecte de données [Termes IGN] données ouvertes [Termes IGN] protection de la vie privée [Termes IGN] qualité des données [Termes IGN] SIG participatif [Termes IGN] système d'information géographique Résumé : (auteur) Use of Public Participation Geographic Information System (PPGIS) for data collection has been significantly growing over the past few years in different areas of research and practice. With the growing amount of data, there is little doubt that a potentially wider community can benefit from open access to them. Additionally, open data add to the transparency of research and can be considered as an essential feature of science. However, data anonymization is a complex task and the unique characteristics of PPGIS add to this complexity. PPGIS data often include personal spatial and non-spatial information, which essentially require different approaches for anonymization. In this study, we first identify different privacy concerns and then develop a PPGIS data anonymization strategy to overcome them for an open PPGIS data. Specifically, this article introduces a context-sensitive spatial anonymization method to protect individual home locations while maintaining their spatial resolution for mapping purposes. Furthermore, this study empirically evaluates the effects of data anonymization on PPGIS data quality. The results indicate that a satisfactory level of anonymization can be reached using this approach. Moreover, the assessment results indicate that the environmental and home range measurements as well as their intercorrelations are not significantly biased by the anonymization. However, necessary analytical measures such as use of larger spatial units is recommendable when anonymized data is used. In this study, European data protection regulations were used as the legal guidelines. However, adaptation of methods employed in this study may be also relevant to other countries where comparable regulations exist. Although specifically targeted at PPGIS data, what is discussed in this paper can be applicable to other similar spatial datasets as well. Numéro de notice : A2020-698 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.compenvurbsys.2020.101513 Date de publication en ligne : 04/07/2020 En ligne : https://doi.org/10.1016/j.compenvurbsys.2020.101513 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96252 [article]

Conciliating perspectives from mapping agencies and web of data on successful European SDIs: toward a European geographic knowledge graph / Bénédicte Bucher in ISPRS International journal of geo-information, vol 9 n° 2 (February 2020)  

Public [article]  inISPRS International journal of geo-information > vol 9 n° 2 (February 2020) . - 23 p. Titre : Conciliating perspectives from mapping agencies and web of data on successful European SDIs: toward a European geographic knowledge graph Type de document : Article/Communication Auteurs : Bénédicte Bucher , Auteur ; Esa Tiainen, Auteur ; Thomas Ellett von Brasch, Auteur ; Paul Janssen, Auteur ; Dimitris Kotzinos, Auteur ; Marjan Ceh, Auteur ; Martijn Rijsdijk, Auteur ; Marie-Dominique Van Damme , Auteur ; Mehdi Zhral , Auteur Année de publication : 2020 Projets : URCLIM / Masson, Valéry Article en page(s) : 23 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] cartographe [Termes IGN] données ouvertes [Termes IGN] graphique [Termes IGN] harmonisation des données [Termes IGN] hétérogénéité sémantique [Termes IGN] infrastructure européenne de données localisées [Termes IGN] INSPIRE [Termes IGN] ontologie [Termes IGN] organisme cartographique national [Termes IGN] Web des données [Termes IGN] web sémantique Résumé : (auteur) Spatial Data Infrastructures (SDIs) are a key asset for Europe. This paper concentrates on unsolved issues in SDIs in Europe related to the management of semantic heterogeneities. It studies contributions and competences from two communities in this field: cartographers, authoritative data providers, and geographic information scientists on the one hand, and computer scientists working on the Web of Data on the other. During several workshops organized by the EuroSDR and Eurogeographics organizations, the authors analyzed their complementarity and discovered reasons for the difficult collaboration between these communities. They have different and sometimes conflicting perspectives on what successful SDIs should look like, as well as on priorities. We developed a proposal to integrate both perspectives, which is centered on the elaboration of an open European Geographical Knowledge Graph. Its structure reuses results from the literature on geographical information ontologies. It is associated with a multifaceted roadmap addressing interrelated aspects of SDIs. Numéro de notice : A2020-054 Affiliation des auteurs : LASTIG+Ext (2016-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9020062 Date de publication en ligne : 21/01/2020 En ligne : https://doi.org/10.3390/ijgi9020062 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94537 [article]

Data scale as cartography: a semi-automatic approach for thematic web map creation / Auriol Degbelo in Cartography and Geographic Information Science, vol 47 n° 2 (February 2020)  

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Open data, big data, décisionnel, etc. : quels impacts sur la place de l'entité SIG des collectivités ? / Mathieu Le Moal in Géomatique expert, n° 132-133 (janvier - septembre 2020)

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Open scientific data / Vera J. Lipton (2020)  

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Projet infos usagers et projet transport à la demande / Oriane Sobreira (2020) 

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Refondre les politiques publiques avec le numérique / Gilles Babinet (2020)

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La BD Topo à l’heure de la collaboration / Anonyme in Géomatique expert, n° 130-131 (octobre - décembre 2019)

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Numérique et territoires / Philippe Cohard (2019)

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Using Network Segments in the Visualization of Urban Isochrones / Jeff Allen in Cartographica, vol 53 n° 4 (winter 2018)  

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Ontologies pour représenter l’évolution des découpages territoriaux statistiques / Camille Bernard in Revue internationale de géomatique, vol 28 n° 4 (octobre - décembre 2018)  

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Le FOSS4G-fr version 2018 / Anonyme in Géomatique expert, n° 122 (mai-juin 2018)

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