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An IEEE value loop of human-technology collaboration in geospatial information science / Liqiu Meng in Geo-spatial Information Science, vol 23 n° 1 (March 2020)
[article]
Titre : An IEEE value loop of human-technology collaboration in geospatial information science Type de document : Article/Communication Auteurs : Liqiu Meng, Auteur Année de publication : 2020 Article en page(s) : pp 61- 67 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique
[Termes IGN] analyse géovisuelle
[Termes IGN] approche holistique
[Termes IGN] données localisées numériques
[Termes IGN] enrichissement sémantique
[Termes IGN] éthique
[Termes IGN] géographie sociale
[Termes IGN] information sémantique
[Termes IGN] intégration de données
[Termes IGN] intelligence artificielle
[Termes IGN] interface homme-machine
[Termes IGN] recherche interdisciplinaire
[Termes IGN] web sémantiqueRésumé : (auteur) Geosensing and social sensing as two digitalization mainstreams in big data era are increasingly converging toward an integrated system for the creation of semantically enriched digital Earth. Along with the rapid developments of AI technologies, this convergence has inevitably brought about a number of transformations. On the one hand, value-adding chains from raw data to products and services are becoming value-adding loops composed of four successive stages – Informing, Enabling, Engaging and Empowering (IEEE). Each stage is a dynamic loop for itself. On the other hand, the “human versus technology” relationship is upgraded toward a game-changing “human and technology” collaboration. The information loop is essentially shaped by the omnipresent reciprocity between humans and technologies as equal partners, co-learners and co-creators of new values.
The paper gives an analytical review on the mutually changing roles and responsibilities of humans and technologies in the individual stages of the IEEE loop, with the aim to promote a holistic understanding of the state of the art of geospatial information science. Meanwhile, the author elicits a number of challenges facing the interwoven human-technology collaboration. The transformation to a growth mind-set may take time to realize and consolidate. Research works on large-scale semantic data integration are just in the beginning. User experiences of geovisual analytic approaches are far from being systematically studied. Finally, the ethical concerns for the handling of semantically enriched digital Earth cover not only the sensitive issues related to privacy violation, copyright infringement, abuse, etc. but also the questions of how to make technologies as controllable and understandable as possible for humans and how to keep the technological ethos within its constructive sphere of societal influence.Numéro de notice : A2020-163 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10095020.2020.1718004 Date de publication en ligne : 23/01/2020 En ligne : https://doi.org/10.1080/10095020.2020.1718004 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94823
in Geo-spatial Information Science > vol 23 n° 1 (March 2020) . - pp 61- 67[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)
[article]
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 Zrhal , 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] découverte de connaissances
[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] réseau sémantique
[Termes IGN] web des données
[Termes IGN] web sémantiqueRésumé : (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/INFORMATIQUE 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
in ISPRS International journal of geo-information > vol 9 n° 2 (February 2020) . - 23 p.[article]Semantic relatedness algorithm for keyword sets of geographic metadata / Zugang Chen in Cartography and Geographic Information Science, vol 47 n° 2 (February 2020)
[article]
Titre : Semantic relatedness algorithm for keyword sets of geographic metadata Type de document : Article/Communication Auteurs : Zugang Chen, Auteur ; Yaping Yang, Auteur Année de publication : 2020 Article en page(s) : pp 125 - 140 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] descripteur
[Termes IGN] Infrastructure de données
[Termes IGN] internet interactif
[Termes IGN] métadonnées géographiques
[Termes IGN] relation sémantique
[Termes IGN] similitude sémantique
[Termes IGN] système à base de connaissances
[Termes IGN] terminologie
[Termes IGN] thesaurusRésumé : (auteur) Advances in linked geospatial data, recommender systems, and geographic information retrieval have led to urgent necessity to assess the overall semantic relatedness between keyword sets of geographic metadata. In this study, a new model is proposed for computing the semantic relatedness between arbitrary two keyword sets of geographic metadata stored in current global spatial data infrastructures. In this model, the overall semantic relatedness is derived by pairing these keywords that are found to be most relevant to each other and averaging their relatedness. To find the most relevant keywords across two keyword sets precisely, the keywords in the keyword set of geographic metadata are divided into three kinds: the thesaurus elements, the WordNet elements, and the statistical elements. The thesaurus-lexical relatedness measure (TLRM), the extended thesaurus-lexical relatedness measure (ETLRM), and the Longest Common Substring method are proposed to compute the semantic relatedness between two thesaurus elements, two WordNet elements, a thesaurus element, and a WordNet element and two statistical elements, respectively. A human data set – the geographic-metadata’s keyword set relatedness dataset, which was used to evaluate the precision of the semantic relatedness measures of keyword sets of geographic metadata, was created. The proposed method was evaluated against the human-generated relatedness judgments and was compared with the Jaccard method and Vector Space Model. The results demonstrated that the proposed method achieved a high correlation with human judgments and outperformed the existing methods. Finally, the proposed method was applied to quantitatively linked geospatial data. Numéro de notice : A2020-057 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2019.1647797 Date de publication en ligne : 20/09/2017 En ligne : https://doi.org/10.1080/15230406.2019.1647797 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94573
in Cartography and Geographic Information Science > vol 47 n° 2 (February 2020) . - pp 125 - 140[article]Calcul d’une emprise de carte à partir du texte d’un article de presse / Clément Beauvallet (2020)
Titre : Calcul d’une emprise de carte à partir du texte d’un article de presse Type de document : Mémoire Auteurs : Clément Beauvallet, Auteur ; Catherine Dominguès , Encadrant ; Laurence Jolivet , Encadrant Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2020 Importance : 25 p. Note générale : bibliographie
rapport de Programmation / SIG dans le cadre du cycle ingénieur 3e annéeLangues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] emprise de carte
[Termes IGN] entité géographique
[Termes IGN] exploration de texte
[Termes IGN] Java (langage de programmation)
[Termes IGN] toponymeIndex. décimale : TDE Travaux dirigés des étudiants, rapports de projets, rapports de stage hors fin d'études Résumé : pas de résumé Note de contenu : Introduction contextuelle
1- Contexte du stage et travaux antérieurs
1-1 Contexte de l’étude et objectifs du stage
1-2 TEXTOMAP et objectifs du stage
1-3 Support de travail de base : thèse de Geoffrey Brun
1-4 Objectifs du stage
2-Emprise de référence, stratégies de sélection d’entités et emprise calculée
2-1 Définition et extraction des emprises de référence
2-2 Explication des stratégies et du calcul d’emprise
3-Résultats et possibles améliorations
3-1 Résultats obtenus et analyses
3-2 Bilan du stage
ConclusionNuméro de notice : 17692 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : TD/TP étudiant DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99158 Comparing supervised learning algorithms for Spatial Nominal Entity recognition / Amine Medad (2020)
Titre : Comparing supervised learning algorithms for Spatial Nominal Entity recognition Type de document : Article/Communication Auteurs : Amine Medad, Auteur ; Mauro Gaio, Auteur ; Ludovic Moncla , Auteur ; Sébastien Mustière , Auteur ; Yannick Le Nir, Auteur Editeur : Göttingen : Copernicus publications Année de publication : 2020 Collection : AGILE GIScience Series num. vol 1 Projets : 1-Pas de projet / Masson, Valéry Conférence : AGILE 2020, 23rd AGILE Conference on Geographic Information Science 16/06/2020 19/06/2020 Chania - Crète Grèce OA Proceedings Importance : 18 p. Format : 21 x 30 cm Note générale : biblographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] algorithme d'apprentissage
[Termes IGN] analyse comparative
[Termes IGN] entité géographique
[Termes IGN] recherche d'information géographique
[Termes IGN] reconnaissance de noms
[Termes IGN] traitement du langage naturelRésumé : (auteur) Discourse may contain both named and nominal entities. Most common nouns or nominal mentions in natural language do not have a single, simple meaning but rather a number of related meanings. This form of ambiguity led to the development of a task in natural language processing known as Word Sense Disambiguation. Recognition and categorisation of named and nominal entities is an essential step for Word Sense Disambiguation methods. Up to now, named entity recognition and categorisation systems mainly focused on the annotation, categorisation and identification of named entities. This paper focuses on the annotation and the identification of spatial nominal entities. We explore the combination of Transfer Learning principle and supervised learning algorithms, in order to build a system to detect spatial nominal entities. For this purpose, different supervised learning algorithms are evaluated with three different context sizes on two manually annotated datasets built from Wikipedia articles and hiking description texts. The studied algorithms have been selected for one or more of their specific properties potentially useful in solving our problem. The results of the first phase of experiments reveal that the selected algorithms have similar performances in terms of ability to detect spatial nominal entities. The study also confirms the importance of the size of the window to describe the context, when word-embedding principle is used to represent the semantics of each word. Numéro de notice : C2020-013 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/agile-giss-1-15-2020 Date de publication en ligne : 15/07/2020 En ligne : https://doi.org/10.5194/agile-giss-1-15-2020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95688 MapGenOnto: A shared ontology for map generalisation and multi-scale visualisation / Guillaume Touya (2020)PermalinkModélisation sémantique et programmation générative pour une simulation multi-agent dans le contexte de gestion de catastrophe / Claire Prudhomme in Revue internationale de géomatique, vol 30 n° 1-2 (janvier - juin 2020)PermalinkDes empreintes cartographiques : restitution de données géohistoriques à partir de la Carte de France de Cassini, 1750-1789 / Bertrand Duménieu in Cartes & Géomatique, n° 241-242 (décembre 2019)PermalinkPlace and sentiment-based life story analysis: From the Spanish republican army to the French resistance / Catherine Dominguès in Revue française des sciences de l'information et de la communication, vol 17 (2019)PermalinkSMSM: a similarity measure for trajectory stops and moves / Andre L. Lehmann in International journal of geographical information science IJGIS, vol 33 n° 9 (September 2019)PermalinkComputing and querying strict, approximate, and metrically refined topological relations in linked geographic data / Blake Regalia in Transactions in GIS, vol 23 n° 3 (June 2019)PermalinkDeeply integrating linked data with geographic information systems / Gengchen Mai in Transactions in GIS, vol 23 n° 3 (June 2019)PermalinkA framework for connecting two interoperability universes: OGC Web Feature Services and Linked Data / Luis Vilches-Blazquez in Transactions in GIS, vol 23 n° 1 (February 2019)PermalinkData linking by indirect spatial referencing systems, [report of] EuroSDR - EuroGeographics seminar, September 5th - 6th, 2018 - Paris, France / Bénédicte Bucher (2019)PermalinkFostering the use of methods for geosimulation models sensitivity analysis and validation / Romain Reuillon (2019)PermalinkNumérique et territoires / Philippe Cohard (2019)PermalinkPreserving Semantics, Tractability and Evolution on a multi-scale Geographic Information Infrastructure : Cases for extending INSPIRE Data Specifications / Bénédicte Bucher (2019)PermalinkSpatial decision support in urban environments using machine learning, 3D geo-visualization and semantic integration of multi-source data / Nikolaos Sideris (2019)PermalinkPermalinkThe world, the computer, and the mind : how Andrew Frank helped make human language and cognition cornerstones of geographic information science / Daniel R. Montello in International journal of geographical information science IJGIS, vol 32 n° 11-12 (November - December 2018)PermalinkOntologies pour représenter l’évolution des découpages territoriaux statistiques / Camille Bernard in Revue internationale de géomatique, vol 28 n° 4 (octobre - décembre 2018)PermalinkServices web pour l’annotation sémantique d’information spatiale à partir de corpus textuels / Ludovic Moncla in Revue internationale de géomatique, vol 28 n° 4 (octobre - décembre 2018)PermalinkVoronoi tessellation on the ellipsoidal earth for vector data / Christos Kastrisios in International journal of geographical information science IJGIS, vol 32 n° 7-8 (July - August 2018)PermalinkPermalinkThe map as knowledge base / Dalia E. Varanka in International journal of cartography, vol 4 n° 2 (June 2018)Permalink