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Method for generation of indoor GIS models based on BIM models to support adjacent analysis of indoor spaces / Qingxiang Chen in ISPRS International journal of geo-information, vol 9 n° 9 (September 2020)  

Public [article]  inISPRS International journal of geo-information > vol 9 n° 9 (September 2020) . - 24 p. Titre : Method for generation of indoor GIS models based on BIM models to support adjacent analysis of indoor spaces Type de document : Article/Communication Auteurs : Qingxiang Chen, Auteur ; Jing Chen, Auteur ; Wumeng Huang, Auteur Année de publication : 2020 Article en page(s) : 24 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes descripteurs IGN] adjacence [Termes descripteurs IGN] CityGML [Termes descripteurs IGN] espace intérieur [Termes descripteurs IGN] indoorGML [Termes descripteurs IGN] modélisation 3D du bâti BIM [Termes descripteurs IGN] requête spatiale Résumé : (auteur) Methods for the generation of indoor geographic information system (GIS) models based on building information modelling (BIM) models can promote the analysis and application of indoor GIS, avoiding the complexity of traditional indoor space collection. The indoor adjacency relations (i.e., the attribute of IndoorGML) play a vital role in the adjacent query and analysis in indoor GIS applications (i.e., obtaining the neighbors or affected spaces of a cellular space in a building). However, current methods ignore the important feature, which considerably limits the spatial analysis ability of indoor GIS. Therefore, we developed a method for the generation of indoor GIS models based on BIM models to support adjacent analysis of indoor spaces. The method first devised an indoor GIS model (IGSM) by integrating spatial features (mainly adjacency relations) and the BIM model. Then, we proposed rapid modeling algorithms to mainly establish indoor adjacency relations based on the IGSM. Moreover, in the potential application of indoor GIS (e.g., indoor emergency response), we proposed a K-adjacent analysis algorithm to improve the application ability of the adjacent analysis of indoor GIS. Finally, experimental results suggest its validity and efficiency, which has substantial practical significance for the subsequent analysis and application of 3D GIS. Numéro de notice : A2020-662 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9090508 date de publication en ligne : 24/08/2020 En ligne : https://doi.org/10.3390/ijgi9090508 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96138 [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 Affiliation des auteurs : non IGN 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]

Query rewriting for semantic query optimization in spatial databases / Eduardo Mella in Geoinformatica [en ligne], vol 23 n° 1 (January 2019)  

Public [article]  inGeoinformatica [en ligne] > vol 23 n° 1 (January 2019) . - pp 79 - 104 Titre : Query rewriting for semantic query optimization in spatial databases Type de document : Article/Communication Auteurs : Eduardo Mella, Auteur ; M. Andrea Rodríguez, Auteur ; Loreto Bravo, Auteur ; Diego Gatica, Auteur Année de publication : 2019 Article en page(s) : pp 79 - 104 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] contrainte d'intégrité [Termes descripteurs IGN] jointure spatiale [Termes descripteurs IGN] optimisation (mathématiques) [Termes descripteurs IGN] programmation par contraintes [Termes descripteurs IGN] relation topologique [Termes descripteurs IGN] requête (informatique) [Termes descripteurs IGN] requête spatiale [Termes descripteurs IGN] système de gestion de bases de données orientées objet Résumé : (auteur) Query processing is an important challenge for spatial databases due to the use of complex data types that represent spatial attributes. In particular, due to the cost of spatial joins, several optimization algorithms based on indexing structures exist. The work in this paper proposes a strategy for semantic query optimization of spatial join queries. The strategy detects queries with empty results and rewrites queries to eliminate unnecessary spatial joins or to replace spatial by thematic joins. This is done automatically by analyzing the semantics imposed by the database schema through topological dependencies and topological referential integrity constraints. In this way, the strategy comes to complement current state-of-art algorithms for processing spatial join queries. The experimental evaluation with real data sets shows that the optimization strategy can achieve a decrease in the time cost of a join query using indexing structures in a spatial database management system (SDBMS). Numéro de notice : A2019-224 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10707-018-00335-w date de publication en ligne : 04/01/2019 En ligne : http://dx.doi.org/10.1007/s10707-018-00335-w Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92623 [article]

A cross-analysis framework for multi-source volunteered, crowdsourced, and authoritative geographic information : The case study of volunteered personal traces analysis against transport network data / Gloria Bordogna in Geo-spatial Information Science, vol 21 n° 3 (October 2018)  

Public [article]  inGeo-spatial Information Science > vol 21 n° 3 (October 2018) . - pp 257 - 271 Titre : A cross-analysis framework for multi-source volunteered, crowdsourced, and authoritative geographic information : The case study of volunteered personal traces analysis against transport network data Type de document : Article/Communication Auteurs : Gloria Bordogna, Auteur ; Steven Capelli, Auteur ; Daniele E. Ciriello, Auteur ; Guiseppe Psaila, Auteur Année de publication : 2018 Article en page(s) : pp 257 - 271 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] Bergame [Termes descripteurs IGN] cadre conceptuel [Termes descripteurs IGN] données hétérogènes [Termes descripteurs IGN] données localisées de référence [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] étiquetage sémantique [Termes descripteurs IGN] format JSON [Termes descripteurs IGN] mobilité urbaine [Termes descripteurs IGN] requête spatiale [Termes descripteurs IGN] réseau de transport [Termes descripteurs IGN] trace numérique Résumé : (Auteur) The paper discusses the need of a high-level query language to allow analysts, geographers and, in general, non-programmers to easily cross-analyze multi-source VGI created by means of apps, crowd-sourced data from social networks and authoritative geo-referenced data, usually represented as JSON data sets (nowadays, the de facto standard for data exported by social networks). Since an easy to use high-level language for querying and manipulating collections of possibly geo-tagged JSON objects is still unavailable, we propose a truly declarative language, named J-CO-QL, that is based on a well-defined execution model. A plug-in for a GIS permits to visualize geo-tagged data sets stored in a NoSQL database such as MongoDB; furthermore, the same plug-in can be used to write and execute J-CO-QL queries on those databases. The paper introduces the language by exemplifying its operators within a real study case, the aim of which is to understand the mobility of people in the neighborhood of Bergamo city. Cross-analysis of data about transportation networks and VGI from travelers is performed, by means of J-CO-QL language, capable to manipulate and transform, combine and join possibly geo-tagged JSON objects, in order to produce new possibly geo-tagged JSON objects satisfying users’ needs. Numéro de notice : A2018-646 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2017.1374703 date de publication en ligne : 21/09/2018 En ligne : https://doi.org/10.1080/10095020.2017.1374703 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93316 [article]

Combined geo-social search : computing top-k join queries over incomplete information / Yaron Kanza in Geoinformatica [en ligne], vol 22 n° 3 (July 2018)  

Public [article]  inGeoinformatica [en ligne] > vol 22 n° 3 (July 2018) . - pp 615 - 660 Titre : Combined geo-social search : computing top-k join queries over incomplete information Type de document : Article/Communication Auteurs : Yaron Kanza, Auteur ; Mirit Shalem, Auteur Année de publication : 2018 Article en page(s) : pp 615 - 660 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] approximation [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] jointure [Termes descripteurs IGN] requête spatiale [Termes descripteurs IGN] réseau social Résumé : (Auteur) Geo-social data sets, which fuse the social and the geospatial facets of data, are vibrant data sources that associate people and activities with locations. In a combined geo-social search, several search queries are posed over geospatial and social data sources, or over data sources with both geospatial and social facets; and the search results, provided as ranked lists of items, are integrated by associating matching items, yielding combinations. Each combination has a score which is a function of the scores of the items it comprises, and the goal is to compute the k combinations with the highest score, that is, the top-k combinations. However, since geo-social data sources are heterogeneous, data items may not have matching items in all the ranked lists. Such items cannot be included in complete combinations. Hence, we study the approach where combinations are padded by nulls for missing items, as in outer-join. A combination is maximal if it cannot be extended by replacing a null by an item. We show that if some of the top-k maximal combinations contain null values, the computation requires reading entire lists, and hence, traditional top-k algorithms and optimization techniques are not as effective as in the case of an ordinary top-k join. Thus, we present two novel algorithms for computing the top-k maximal combinations. One novel algorithm is instance optimal over the class of algorithms that compute a ??approximation to the answer. The second algorithm is more efficient than the modification of two common top-k algorithms to compute maximal combinations. We show this analytically, and experimentally over real and synthetic data. Numéro de notice : A2018-370 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10707-017-0297-y date de publication en ligne : 25/03/2017 En ligne : https://doi.org/10.1007/s10707-017-0297-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90762 [article]

Aggregate keyword nearest neighbor queries on road networks / Pengfei Zhang in Geoinformatica [en ligne], vol 22 n° 2 (April 2018)  

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Classification of topological relations between spatial objects in two‐dimensional space within the dimensionally extended 9‐intersection model / Jingwei Shen in Transactions in GIS, vol 22 n° 2 (April 2018)  

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Spatial query based virtual reality GIS analysis platform / Weixi Wang in Neurocomputing, vol (2017)  

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Exploiting location-aware social networks for efficient spatial query processing / Liang Tang in Geoinformatica [en ligne], vol 21 n° 1 (January - March 2017)  

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Finding dense locations in symbolic indoor tracking data: modeling, indexing, and processing / Tanvir Ahmed in Geoinformatica [en ligne], vol 21 n° 1 (January - March 2017)  

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The direction-constrained k nearest neighbor query dealing with spatio-directional objects / Min-Joong Lee in Geoinformatica [en ligne], vol 20 n° 3 (July - September 2016)  

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A hybrid link-node approach for finding shortest paths in road networks with turn restrictions / Qingquan Li in Transactions in GIS, vol 19 n° 6 (December 2015)  

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The TM-RTree: an index on generic moving objects for range queries / Jianqiu Xu in Geoinformatica [en ligne], vol 19 n° 3 (July - September 2015)  

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GMOBench: Benchmarking generic moving objects / Jianqiu Xu in Geoinformatica [en ligne], vol 19 n° 2 (April - June 2015)  

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Visual overlay on OpenStreetMap data to support spatial exploration of urban environments / Chandan Kumar in ISPRS International journal of geo-information, vol 4 n°1 (March 2015)  

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Efficient continuous top-k spatial keyword queries on road networks / Long Guo in Geoinformatica [en ligne], vol 19 n° 1 (January - March 2015)  

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Improving geographic information retrieval in spatial data infrastructures / Fabio Gomes,de Andrade in Geoinformatica, vol 18 n° 4 (October 2014)  

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Large-scale geo-tagged video indexing and queries / He Ma in Geoinformatica, vol 18 n° 4 (October 2014)  

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TARS: traffic-aware route search / Roy Levin in Geoinformatica, vol 18 n° 3 (July 2014)  

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3D Hilbert space filling curves in 3D city modeling for faster spatial queries / Uznir Ujang in International journal of 3-D information modeling, vol 3 n° 2 (April - June 2014)

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A comparative study of two approaches for supporting optimal network location queries / Parisa Ghaemi in Geoinformatica, vol 18 n° 2 (April 2014)  

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The largest empty rectangle containing only a query object in Spatial Databases / Gilberto Gutiérrez in Geoinformatica, vol 18 n° 2 (April 2014)  

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Protecting query privacy in location-based services / Xihui Chen in Geoinformatica, vol 18 n° 1 (January 2014)  

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Blind evaluation of location based queries using space transformation to preserve location privacy / Ali Khshgozaran in Geoinformatica, vol 17 n° 4 (October 2013)  

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Decentralized querying of topological relations between regions monitored by a coordinate-free geosensor network / Myeong-Hung Jeong in Geoinformatica, vol 17 n° 4 (October 2013)  

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Index-based query processing on distributed multidimensional data / George Tsatsanifos in Geoinformatica, vol 17 n° 3 (July 2013)  

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Spatial inverse query processing / Thomas Bernecker in Geoinformatica, vol 17 n° 3 (July 2013)  

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Modèle pour un serveur de données géographiques. Les services web géographiques WMS et WFS / Nissrine Souissi in Revue internationale de géomatique, vol 23 n° 2 (juin - aout 2013)

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Perception-based shape retrieval for 3D building models / M. Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)

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A review of EO image information mining / M. Quartilly in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)

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Semisupervised classification of remote sensing images with active queries / Jordi Munoz-Mari in IEEE Transactions on geoscience and remote sensing, vol 50 n° 10 Tome 1 (October 2012)  

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Topological operators: a relaxed query processing approach / Alberto Belussi in Geoinformatica, vol 16 n° 1 (January 2012)  

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PostGIS pour les néophytes (6ème partie) : Le langage PL/PgSQL / Anonyme in Géomatique expert, n° 82 (01/09/2011)

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A new GIScience application for visualized natural resources management and decision support / Y. Yang in Transactions in GIS, vol 15 supplement s1 (July 2011)  

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Query-aware location anonymization for road networks / C. Chow in Geoinformatica, vol 15 n° 3 (July 2011)  

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The partial sequenced route query with traveling rules in road networks / H. Chen in Geoinformatica, vol 15 n° 3 (July 2011)  

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CartoMundi, collectio chartarum orbe terrae / Jean-Luc Arnaud in Géomatique expert, n° 80 (01/05/2011)

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Collaborative web-GIS design: a case study for road risk analysis and monitoring / Francesco Pirotti in Transactions in GIS, vol 15 n° 2 (April 2011)  

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PostGIS pour les néophytes (3ème partie) : Géométries, création de tables et opérateurs élémentaires / Anonyme in Géomatique expert, n° 79 (01/03/2011)

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Analyse spatiale de l'information géographique / R. Caloz (2011)

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Functional description of geoprocessing services as conjunctive datalog queries / D. Fitzner in Geoinformatica, vol 15 n° 1 (January 2011)  

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IRSJ : incremental refining spatial joins for interactive queries in GIS / W. Bae in Geoinformatica, vol 14 n° 4 (October 2010)  

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Exploiting geographic references of documents in a geographical information retrieval system using an ontology-based index / N. Brisaboa in Geoinformatica, vol 14 n° 3 (July 2010)  

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A knowledge infrastructure for intelligent query answering in Location-based Services / S Yu in Geoinformatica, vol 14 n° 3 (July 2010)  

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Ontologies and database management system technology for The National Map / N. Wiegand in Cartographica, vol 45 n° 2 (June 2010)  

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Algorithms for constrained k-nearest neighbor queries over moving object trajectories / Y. Gao in Geoinformatica, vol 14 n° 2 (April 2010)  

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Semantic enablement for Spatial Data Infrastructures / Krzysztof Janowicz in Transactions in GIS, vol 14 n° 2 (April 2010)  

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Spatial planning on the semantic Web / R. Hoekstra in Transactions in GIS, vol 14 n° 2 (April 2010)  

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The space package : tight integration between space and semantics / W. Van Hage in Transactions in GIS, vol 14 n° 2 (April 2010)  

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Vague spatio-thematic query processing: a qualitative approach to spatial closeness / R. Grütter in Transactions in GIS, vol 14 n° 2 (April 2010)  

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