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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 / Bucher, Bénédicte Article en page(s) : 23 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes descripteurs IGN] cartographe [Termes descripteurs IGN] données ouvertes [Termes descripteurs IGN] graphique [Termes descripteurs IGN] harmonisation des données [Termes descripteurs IGN] hétérogénéité sémantique [Termes descripteurs IGN] infrastructure européenne de données localisées [Termes descripteurs IGN] INSPIRE [Termes descripteurs IGN] ontologie [Termes descripteurs IGN] organisme cartographique national [Termes descripteurs IGN] Web des données [Termes descripteurs 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 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]

Place 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)  

Public [article]  inRevue française des sciences de l'information et de la communication > vol 17 (2019) Titre : Place and sentiment-based life story analysis: From the Spanish republican army to the French resistance Type de document : Article/Communication Auteurs : Catherine Dominguès , Auteur ; Laurence Jolivet , Auteur ; Carmen Brando , Auteur ; Marion Cargill, Auteur Année de publication : 2019 Projets : 1-Pas de projet / Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Toponymie [Termes descripteurs IGN] analyse sémantique [Termes descripteurs IGN] appariement de données localisées [Termes descripteurs IGN] apprentissage dirigé [Termes descripteurs IGN] carte thématique [Termes descripteurs IGN] Espagne [Termes descripteurs IGN] expression orale [Termes descripteurs IGN] France (administrative) [Termes descripteurs IGN] guerre [Termes descripteurs IGN] histoire [Termes descripteurs IGN] linguistique [Termes descripteurs IGN] ontologie [Termes descripteurs IGN] terminologie Résumé : (auteur) In 2008, the Network of Actors for the History and Memory of Immigration (RAHMI) launched an experimental gathering program to collect the forgotten memory of immigrant populations involved in the local community. Various groups of people were targeted by this collection, which made it possible to record life stories, including those of Spanish Republicans who went into exile in France between 1936 and 1939, and participated in the French Resistance. The MATRICIEL project (PEPS CNRS UPE 2016) focused on the migration of these Spanish Republicans in terms of the places mentioned in their stories, and the sentiments associated with these places. The project aimed to mainstream the migrants’ voices in the analysis; the objects of study chosen: the places, designated by a proper name: Barcelona, or a common name: internment camp, and the associated sentiments distinguished by their polarity: positive or negative, contribute to enhancing oral archives for the construction of an immigration memory. In this article, we present the approach implemented for a multidisciplinary analysis of the life story corpus, which combines methods and tools for natural language processing and mapping. The identification of common noun places mentioned in the stories was conducted through a supervised learning model. The identification and subsequent mapping of proper name places highlight the spatial distribution of the witnesses’ life courses, determined by the historical context and personal choices. The semi-automatic sentiment annotation adds polarity to the stories. In perspective, the analysis of common noun place types will make it possible to evaluate the granularity used by witnesses to describe their lived spaces; their location will help to specify the spatiality of the stories. Numéro de notice : A2019-590 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.4000/rfsic.7228 date de publication en ligne : 01/09/2019 En ligne : https://doi.org/10.4000/rfsic.7228 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94547 [article]

Computing 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)  

Public [article]  inTransactions in GIS > vol 23 n° 3 (June 2019) . - pp 601 - 619 Titre : Computing and querying strict, approximate, and metrically refined topological relations in linked geographic data Type de document : Article/Communication Auteurs : Blake Regalia, Auteur ; Krzysztof Janowicz, Auteur ; Grant McKenzie, Auteur Année de publication : 2019 Article en page(s) : pp 601 - 619 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] DBpedia [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] entité géographique [Termes descripteurs IGN] graphe [Termes descripteurs IGN] relation topologique [Termes descripteurs IGN] requête spatiale [Termes descripteurs IGN] Web des données Résumé : (Auteur) Geographic entities and the information associated with them play a major role in Web‐scale knowledge graphs such as Linked Data. Interestingly, almost all major datasets represent places and even entire regions as point coordinates. There are two key reasons for this. First, complex geometries are difficult to store and query using the current Linked Data technology stack to a degree where many queries take minutes to return or will simply time out. Second, the absence of complex geometries confirms a common suspicion among GIScientists, namely that for many everyday queries place‐based relational knowledge is more relevant than raw geometries alone. To give an illustrative example, the statement that the White House is in Washington, DC is more important for gaining an understating of the city than the exact geometries of both entities. This does not imply that complex geometries are unimportant but that (topological) relations should also be extracted from them. As Egenhofer and Mark (1995b) put it in their landmark paper on naive geography, topology matters, metric refines. In this work we demonstrate how to compute and utilize strict, approximate, and metrically refined topological relations between several geographic feature types in DBpedia and compare our results to approaches that compute result sets for topological queries on the fly. Numéro de notice : A2019-256 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12548 date de publication en ligne : 26/06/2019 En ligne : https://doi.org/10.1111/tgis.12548 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93014 [article]

Deeply integrating linked data with geographic information systems / Gengchen Mai in Transactions in GIS, vol 23 n° 3 (June 2019)  

Public [article]  inTransactions in GIS > vol 23 n° 3 (June 2019) . - pp 579 - 600 Titre : Deeply integrating linked data with geographic information systems Type de document : Article/Communication Auteurs : Gengchen Mai, Auteur ; Krzysztof Janowicz, Auteur ; Bo Yan, Auteur ; Simon Scheider, Auteur Année de publication : 2019 Article en page(s) : pp 579 - 600 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] connecteur logiciel [Termes descripteurs IGN] graphe [Termes descripteurs IGN] ontologie [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] Web des données Résumé : (Auteur) The realization that knowledge often forms a densely interconnected graph has fueled the development of graph databases, Web‐scale knowledge graphs and query languages for them, novel visualization and query paradigms, as well as new machine learning methods tailored to graphs as data structures. One such example is the densely connected and global Linked Data cloud that contains billions of statements about numerous domains, including life science and geography. While Linked Data has found its way into everyday applications such as search engines and question answering systems, there is a growing disconnect between the classical ways in which Geographic Information Systems (GIS) are still used today and the open‐ended, exploratory approaches used to retrieve and consume data from knowledge graphs such as Linked Data. In this work, we conceptualize and prototypically implement a Linked Data connector framework as a set of toolboxes for Esri's ArcGIS to close this gap and enable the retrieval, integration, and analysis of Linked Data from within GIS. We discuss how to connect to Linked Data endpoints, how to use ontologies to probe data and derive appropriate GIS representations on the fly, how to make use of reasoning, how to derive data that are ready for spatial analysis out of RDF triples, and, most importantly, how to utilize the link structure of Linked Data to enable analysis. The proposed Linked Data connector framework can also be regarded as the first step toward a guided geographic question answering system over geographic knowledge graphs. Numéro de notice : A2019-255 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12538 date de publication en ligne : 11/06/2019 En ligne : https://doi.org/10.1111/tgis.12538 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93013 [article]

Data linking by indirect spatial referencing systems, EuroSDR - EuroGeographics seminar, September 5th - 6th, 2018 - Paris, France / Bénédicte Bucher (2019)  

Public Titre : Data linking by indirect spatial referencing systems, EuroSDR - EuroGeographics seminar, September 5th - 6th, 2018 - Paris, France Type de document : Rapport Auteurs : Bénédicte Bucher , Auteur ; Esa Tiainen, Auteur ; Thomas Ellett von Brasch, Auteur ; Elise Acheson, Auteur ; Dominique Laurent, Auteur ; Sylvain Boissel, Auteur Congrès : EuroSDR & EuroGeographics 2018, Seminar Data Linking by Indirect Spatial Referencing Systems (5 - 6 septembre 2018; Paris, France), Commanditaire Editeur : Dublin : European Spatial Data Research EuroSDR Année de publication : 2019 Collection : EuroSDR Workshop report Importance : 26 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes descripteurs IGN] cohérence des données [Termes descripteurs IGN] ontologie [Termes descripteurs IGN] répertoire toponymique [Termes descripteurs IGN] toponyme [Termes descripteurs IGN] Web des données Note de contenu : 1 INTRODUCTION 2 PRESENTATIONS SUMMARY 2.1 Gazetteers for linking text tospace: experiences with contrasting corpora, Elise Acheson, University of Zurich 2.2 Georef -Service and Development platform:Research data pilot overview, Esa Tiainen, National Land Survey of Finland 2.3 Assessing the importance of named places: benefits and difficulties, Dominique Laurent, IGN France 2.4 Designing Data projects, how to value geographical heritage data with state of the art solutions?, Julien Homo, Kévin Darty, Foxcub 2.5 Finnish Linked Data pilots, Kai Koistinen, National Land Survey of Finland 2.6 The challenge of linking or integrating data on Buildings, Dominique Laurent, IGN France 2.7 Administrative Units as Linked Open Data – A case study from the Norwegian Mapping Authority, Thomas Ellett, Kartverket 2.8 Wikidata, a short introduction, Julien Boissel, Wikimedia foundation 2.9 Linear indirect reference systems to interconnect data in transportation applications, Alain Chaumet, ENSG-Valilab 3 COMMON FINDINGS ISSUED FROM WRAP UP SESSIONS 3.1 Need for ontologies of places and of digital assets 3.2 Consistency in an open world 3.3 Computing, maintaining and sharing links 3.4 Communities, commitments, authorities 4 CONCLUSION AND FURTHER AREAS OF RESEARCHAND DEVELOPMENTS 5 ACKNOWLEDGEMENTS Numéro de notice : 15197 Thématique : GEOMATIQUE Nature : Rapport sur congrès nature-HAL : DirectOuvrColl/Actes DOI : sans En ligne : http://www.eurosdr.net/sites/default/files/uploaded_files/eurosdr_data_linking_b [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93762

Numérique et territoires / Philippe Cohard (2019)

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Thinking Time Geography / Kajsa Ellegård (2019)  

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The 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)  

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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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Services 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)  

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Voronoi 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)  

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Research on ontology for geospatial Web services / Jiantao Bi in Geomatica [en ligne], vol 72 n° 2 (June 2018)  

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Context-aware automated interpretation of elaborate natural language descriptions of location through learning from empirical data / Kristin Stock in International journal of geographical information science IJGIS, vol 32 n° 5-6 (May - June 2018)  

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Un modèle pour l’intégration spatiale et temporelle de données géolocalisées / Helbert Arenas in Revue internationale de géomatique, vol 28 n° 2 (avril - juin 2018)  

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A co-citation and cluster analysis of scientometrics of geographic information ontology / Yu Liu in ISPRS International journal of geo-information, vol 7 n° 3 (March 2018)  

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