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Detecting individuals' spatial familiarity with urban environments using eye movement data / Hua Liao in Computers, Environment and Urban Systems, vol 93 (April 2022)
[article]
Titre : Detecting individuals' spatial familiarity with urban environments using eye movement data Type de document : Article/Communication Auteurs : Hua Liao, Auteur ; Wendi Zhao, Auteur ; Changbo Zhang, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 101758 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse visuelle
[Termes IGN] apprentissage automatique
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] navigation pédestre
[Termes IGN] oculométrie
[Termes IGN] service fondé sur la position
[Termes IGN] zone urbaine
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) The spatial familiarity of environments is an important high-level user context for location-based services (LBS). Knowing users' familiarity level of environments is helpful for enabling context-aware LBS that can automatically adapt information services according to users' familiarity with the environment. Unlike state-of-the-art studies that used questionnaires, sketch maps, mobile phone positioning (GPS) data, and social media data to measure spatial familiarity, this study explored the potential of a new type of sensory data - eye movement data - to infer users' spatial familiarity of environments using a machine learning approach. We collected 38 participants' eye movement data when they were performing map-based navigation tasks in familiar and unfamiliar urban environments. We trained and cross-validated a random forest classifier to infer whether the users were familiar or unfamiliar with the environments (i.e., binary classification). By combining basic statistical features and fixation semantic features, we achieved a best accuracy of 81% in a 10-fold classification and 70% in the leave-one-task-out (LOTO) classification. We found that the pupil diameter, fixation dispersion, saccade duration, fixation count and duration on the map were the most important features for detecting users' spatial familiarity. Our results indicate that detecting users' spatial familiarity from eye tracking data is feasible in map-based navigation and only a few seconds (e.g., 5 s) of eye movement data is sufficient for such detection. These results could be used to develop context-aware LBS that adapt their services to users' familiarity with the environments. Numéro de notice : A2022-121 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.compenvurbsys.2022.101758 Date de publication en ligne : 21/01/2022 En ligne : https://doi.org/10.1016/j.compenvurbsys.2022.101758 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99663
in Computers, Environment and Urban Systems > vol 93 (April 2022) . - n° 101758[article]Graph neural network based model for multi-behavior session-based recommendation / Bo Yu in Geoinformatica, vol 26 n° 2 (April 2022)
[article]
Titre : Graph neural network based model for multi-behavior session-based recommendation Type de document : Article/Communication Auteurs : Bo Yu, Auteur ; Ruoqian Zhang, Auteur ; Wei Chen, Auteur ; Junhua Fang, Auteur Année de publication : 2022 Article en page(s) : pp 429 - 447 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] attention (apprentissage automatique)
[Termes IGN] comportement
[Termes IGN] consommation
[Termes IGN] modèle de simulation
[Termes IGN] réseau neuronal de graphes
[Termes IGN] réseau sémantique
[Termes IGN] service fondé sur la positionMots-clés libres : session Résumé : (auteur) Multi-behavior session-based recommendation aims to predict the next item, such as a location-based service (LBS) or a product, to be interacted by a specific behavior type (e.g., buy or click) in a session involving multiple types of behaviors. State-of-the-art methods generally model multi-behavior dependencies in item-level, but ignore the potential of discovering useful patterns of multi-behavior transition through feature-level representation learning. Besides, sequential and non-sequential patterns should be properly fused in session modeling to capture dynamic interests within the session. To this end, this paper proposes a Graph Neural Network based Hybrid Model GNNH, which enables feature-level deeper representations of multi-behavior interaction sequences for session-based recommendation. Specifically, we first construct multi-relational item graph (MRIG) and feature graph (MRFG) based on session sequences. On top of the MRIG and MRFG, our model takes advantage of GNN to capture item and feature representations, such that global item-to-item and feature-to-feature relations are fully preserved. Afterwards, each multi-behavior session is modeled by a seamless fusion of interacted item and feature representations, where self-attention and mean-pooling are used to obtain sequential and non-sequential patterns simultaneously. Experiments on two real datasets show that the GNNH model significantly outperforms the state-of-the-art methods. Numéro de notice : A2022-326 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-021-00439-w Date de publication en ligne : 29/05/2021 En ligne : https://doi.org/10.1007/s10707-021-00439-w Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100489
in Geoinformatica > vol 26 n° 2 (April 2022) . - pp 429 - 447[article]Quickly locating POIs in large datasets from descriptions based on improved address matching and compact qualitative representations / Ruozhen Cheng in Transactions in GIS, vol 26 n° 1 (February 2022)
[article]
Titre : Quickly locating POIs in large datasets from descriptions based on improved address matching and compact qualitative representations Type de document : Article/Communication Auteurs : Ruozhen Cheng, Auteur ; Jiaxin Liao, Auteur ; Jing Chen, Auteur Année de publication : 2022 Article en page(s) : pp 129 - 154 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] appariement d'adresses
[Termes IGN] information sémantique
[Termes IGN] modèle d'ontologie
[Termes IGN] point d'intérêt
[Termes IGN] raisonnement spatial
[Termes IGN] relation spatiale
[Termes IGN] service fondé sur la position
[Termes IGN] similitude sémantiqueRésumé : (auteur) Locating points of interest (POIs) from descriptions can support intelligent location-based services. Available research achieves it through address matching and spatial reasoning. However, semantic characteristics and spatial proximities of address fields are usually neglected in address matching; current applications of spatial reasoning represent qualitative spatial relations in semantic networks for efficient queries, but they do not yet scale to large datasets for qualitative direction reasoning due to massive qualitative direction relations between objects; moreover, spatial reasoning on various quantitative distances should be optimized. This study proposes a method that improves the accuracy of address matching by combining multiple similarities and enables quick spatial reasoning through the faster relation retrieval of compact qualitative direction representations implemented on global equal latitude and longitude grids (ELLGs) and the ELLG-based quantitative calculations. The proposed method has been verified by two real-world datasets and proven to be efficient and accurate when locating POIs in large POI datasets from descriptions. Numéro de notice : A2022-177 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12838 Date de publication en ligne : 06/09/2021 En ligne : https://doi.org/10.1111/tgis.12838 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99834
in Transactions in GIS > vol 26 n° 1 (February 2022) . - pp 129 - 154[article]Automatic identification of addresses: A systematic literature review / Paula Cruz in ISPRS International journal of geo-information, vol 11 n° 1 (January 2022)
[article]
Titre : Automatic identification of addresses: A systematic literature review Type de document : Article/Communication Auteurs : Paula Cruz, Auteur ; Leonardo Vanneschi, Auteur ; Marco Painho, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 11 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] appariement d'adresses
[Termes IGN] apprentissage automatique
[Termes IGN] apprentissage profond
[Termes IGN] base de données d'adresses
[Termes IGN] géocodage par adresse postale
[Termes IGN] Geoparsing
[Termes IGN] service fondé sur la positionRésumé : (auteur) Address matching continues to play a central role at various levels, through geocoding and data integration from different sources, with a view to promote activities such as urban planning, location-based services, and the construction of databases like those used in census operations. However, the task of address matching continues to face several challenges, such as non-standard or incomplete address records or addresses written in more complex languages. In order to better understand how current limitations can be overcome, this paper conducted a systematic literature review focused on automated approaches to address matching and their evolution across time. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed, resulting in a final set of 41 papers published between 2002 and 2021, the great majority of which are after 2017, with Chinese authors leading the way. The main findings revealed a consistent move from more traditional approaches to deep learning methods based on semantics, encoder-decoder architectures, and attention mechanisms, as well as the very recent adoption of hybrid approaches making an increased use of spatial constraints and entities. The adoption of evolutionary-based approaches and privacy preserving methods stand as some of the research gaps to address in future studies. Numéro de notice : A2022-088 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3390/ijgi11010011 Date de publication en ligne : 29/12/2021 En ligne : https://doi.org/10.3390/ijgi11010011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99497
in ISPRS International journal of geo-information > vol 11 n° 1 (January 2022) . - n° 11[article]Contextual location recommendation for location-based social networks by learning user intentions and contextual triggers / Seyyed Mohammadreza Rahimi in Geoinformatica, vol 26 n° 1 (January 2022)
[article]
Titre : Contextual location recommendation for location-based social networks by learning user intentions and contextual triggers Type de document : Article/Communication Auteurs : Seyyed Mohammadreza Rahimi, Auteur ; Behrouz Far, Auteur ; Xin Wang, Auteur Année de publication : 2022 Article en page(s) : pp 1 - 28 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] analyse spatiale
[Termes IGN] comportement
[Termes IGN] contenu généré par les utilisateurs
[Termes IGN] covariance
[Termes IGN] données spatiotemporelles
[Termes IGN] historique des données
[Termes IGN] interface web
[Termes IGN] mobilité territoriale
[Termes IGN] prise en compte du contexte
[Termes IGN] réseau social géodépendant
[Termes IGN] service fondé sur la position
[Termes IGN] système de recommandationRésumé : (auteur) Location recommendation methods suggest unvisited locations to their users. Many existing location recommendation methods focus on the spatial, social and temporal aspects of human movements. However, contextual information is also invaluable to location recommendation methods and has the great potential for explaining what triggers users to show different behaviors. CLR learns the response of the users to contextual variables based on their own history and the history of similar behaving users. In this paper, we propose a contextual location recommendation method named Contextual Location Recommendation (CLR) that learns the intention and spatial responses of users to various contextual triggers using the historical check-in and contextual information. CLR starts with a co-variance analysis to reduce dimensionality of the check-in data and then uses an optimized version of the random walk with restart to extract hidden user responses to contextual triggers. A tensor factorization is used to build a latent-factor model to predict the user’s intention response with the given set of contextual triggers. Based on the intention response of the user, a contextual spatial component identifies a set of matching locations accessible to the user by estimating the probability distribution of the location of the user and the popularity probability of locations under the contextual settings. Experimental results on three real-world datasets show that CLR improves the recommendation precision by 35% compared to the best-performing baseline recommendation method. Numéro de notice : A2022-203 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-021-00437-y Date de publication en ligne : 02/06/2021 En ligne : https://doi.org/10.1007/s10707-021-00437-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100008
in Geoinformatica > vol 26 n° 1 (January 2022) . - pp 1 - 28[article]Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions / Haosheng Huang in Computers, Environment and Urban Systems, vol 90 (November 2021)PermalinkExtracting 3D indoor maps with any shape accurately using building information modeling data / Qi Qiu in ISPRS International journal of geo-information, vol 10 n° 10 (October 2021)PermalinkIdentifying home locations in human mobility data: an open-source R package for comparison and reproducibility / Qingqing Chen in International journal of geographical information science IJGIS, vol 35 n° 7 (July 2021)PermalinkA BiLSTM-CNN model for predicting users’ next locations based on geotagged social media / Yi Bao in International journal of geographical information science IJGIS, vol 35 n° 4 (April 2021)PermalinkPermalinkRoad network simplification for location-based services / Abdeltawab M. Hendawi in Geoinformatica, vol 24 n° 4 (October 2020)PermalinkUrban Wi-Fi fingerprinting along a public transport route / Guenther Retscher in Journal of applied geodesy, vol 14 n° 4 (October 2020)PermalinkImproved indoor positioning based on range-free RSSI fingerprint method / Marcin Uradzinski in Journal of geodetic science, vol 10 n° 1 (January 2020)PermalinkEPLA : efficient personal location anonymity / Dapeng Zhao in Geoinformatica, vol 22 n° 1 (January 2018)PermalinkNavigation des personnes aux moyens des technologies des smartphones et des données d’environnements cartographiés / Fadoua Taia Alaoui (2018)PermalinkExploiting location-aware social networks for efficient spatial query processing / Liang Tang in Geoinformatica, vol 21 n° 1 (January - March 2017)PermalinkLocalization of a mobile laser scanner via dimensional reduction / Ville V. Lehtola, in ISPRS Journal of photogrammetry and remote sensing, vol 121 (November 2016)PermalinkLocation-based anonymization: comparison and evaluation of the Voronoi-based aggregation system / William Lee Croft in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)PermalinkIdentifying geospatial services across heterogeneous taxonomies / Anand Mehta in Geocarto international, Vol 31 n° 9 - 10 (October - November 2016)PermalinkA better location in Europe / Reinhard Blasi in GEO: Geoconnexion international, vol 15 n° 8 (September 2016)PermalinkIntegrating social network data into GISystems / Clio Andris in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)PermalinkEnabling maps/location searches on mobile devices: constructing a POI database via focused crawling and information extraction / Hsiu-Min Chuang in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)PermalinkLocation K-anonymity in indoor spaces / Joon-Seok Kim in Geoinformatica, vol 20 n° 3 (July - September 2016)PermalinkProceedings of the 13th International Conference on Location-Based Services, Vienna, 14 - 16 november 2016 / Georg Gartner (2016)PermalinkPermalinkStatic GNSS precise point positioning using free online services for Africa / Anis Abdallah in Survey review, vol 48 n° 346 (January 2016)PermalinkUbiquitous user localization in LBS : The need for implementing ethical thinking in our research field / Guenther Retscher in Journal of applied geodesy, vol 9 n° 4 (December 2015)PermalinkCar navigation – computing routes that avoid complicated crossings / Jukka Mathias Krisp in International journal of geographical information science IJGIS, vol 29 n° 11 (November 2015)PermalinkIntergeo 2015 review / Anonyme in GEO: Geoconnexion international, vol 14 n° 10 (November 2015)PermalinkOpenEventMap: A volunteered location-based service / Katereh Polous in Cartographica, vol 50 n° 4 (Winter 2015)PermalinkBeyond the basemap / Matt Toon in GEO: Geoconnexion international, vol 14 n° 7 (July 2015)PermalinkFollow the herd / Corry Brennan in GEO: Geoconnexion international, vol 14 n° 7 (July 2015)PermalinkLocation matters for Europe / Donna Reay in GEO: Geoconnexion international, vol 14 n° 7 (July 2015)PermalinkBienvenue en Terra Indoora / Françoise de Blomac in DécryptaGéo le mag, n° 168 (juin 2015)PermalinkA la recherche du point bleu / Françoise de Blomac in DécryptaGéo le mag, n° 168 (juin 2015)PermalinkAn algebra for spatiotemporal data: From observations to events / Karine Reis Ferreira in Transactions in GIS, vol 18 n° 2 (April 2014)PermalinkA probabilistic data model and algebra for location-based data warehouses and their implementation / Igor Timko in Geoinformatica, vol 18 n° 2 (April 2014)PermalinkEffective mix-zone anonymization techniques for mobile travelers / Balaji Palanisamy in Geoinformatica, vol 18 n° 1 (January 2014)PermalinkPrise en compte des déformations co- et post-sismiques pour la détermination d'un repère de référence / Daphné Lercier (2014)PermalinkProtecting query privacy in location-based services / Xihui Chen in Geoinformatica, vol 18 n° 1 (January 2014)PermalinkPutting the (ultra-low) power in geofence: host-offload GNSS positioning / Miguel Torroja in GPS world, vol 24 n° 11 (November 2013)PermalinkBlind evaluation of location based queries using space transformation to preserve location privacy / Ali Khshgozaran in Geoinformatica, vol 17 n° 4 (October 2013)PermalinkOne protocol to rule them all / Manikantan Parameswaran in GEO: Geoconnexion international, vol 12 n° 8 (september 2013)PermalinkThe influence of digital surface model choice on visibility-based mobile geospatial applications / Sam Meek in Transactions in GIS, vol 17 n° 4 (August 2013)PermalinkLocation-based illustration mapping applications and editing tools / Min Lu in Cartographica, vol 48 n° 2 (June 2013)PermalinkSIG seniors / Michel Deriaz in Géomatique expert, n° 92 (01/06/2013)PermalinkPermalinkDon't get left outdoors / C. Carle in GEO: Geoconnexion international, vol 12 n° 3 (march 2013)PermalinkModèle intégré de description verbale et de représentation spatiale au sein des SIG / David Brosset in Cartes & Géomatique, n° 215 (mars 2013)PermalinkCa arrivera près de chez vous / Françoise de Blomac in SIG la lettre, n° 140 (octobre 2012)PermalinkLBS: it's not just where but who and what / J. Tsipi in GEO: Geoconnexion international, vol 11 n° 9 (october 2012)PermalinkSpatial mashup technology and real time data integration in geo-web application using open source GIS: a case study for disaster management / Harish Chandra Karnatak in Geocarto international, vol 27 n° 6 (October 2012)PermalinkPermalinkFrom 2D maps to 3D geoservices: evolving model of NMAs and related research issues [diaporama] / Jean-Philippe Lagrange (2012)PermalinkNavteq destination maps / E. Van Rees in Geoinformatics, vol 14 n° 6 (01/09/2011)PermalinkBuilding agent-based walking models by machine-learning on diverse databases of space-time trajectory samples / Paul M. Torrens in Transactions in GIS, vol 15 supplement s1 (July 2011)PermalinkQuery-aware location anonymization for road networks / C. Chow in Geoinformatica, vol 15 n° 3 (July 2011)PermalinkThe partial sequenced route query with traveling rules in road networks / H. Chen in Geoinformatica, vol 15 n° 3 (July 2011)PermalinkNavigation the indoor/outdoor location standards maze / Steven Ramage in Geoinformatics, vol 14 n° 4 (01/06/2011)PermalinkToward seamless indoor-outdoor applications : developing stakeholder-oriented location-based services / K. Ogawa in Geo-spatial Information Science, vol 14 n° 2 (01/06/2011)PermalinkSensors in web 2.0 / L. Bermudez in GEO: Geoconnexion international, vol 10 n° 4 (april 2011)PermalinkLBS : le marché tant attendu / Françoise de Blomac in SIG la lettre, n° 125 (mars 2011)PermalinkIndoor positioning: LBS in the inside / Huibert-Jan Lekkerkerk in Geoinformatics, vol 13 n° 8 (01/12/2010)PermalinkMobile Visibility Querying for LBS / J. Carswell in Transactions in GIS, vol 14 n° 6 (December 2010)PermalinkComparative evaluation and analysis of online geocoding services / D. Roongpiboonsopit in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)PermalinkA knowledge infrastructure for intelligent query answering in Location-based Services / S Yu in Geoinformatica, vol 14 n° 3 (July 2010)PermalinkAugmented paper maps: Exploring the design space of a mixed reality system / Volker Paelke in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 3 (May - June 2010)PermalinkLocation-based rights management patent / Roger Longhorn in GEO: Geoconnexion international, vol 9 n° 5 (may 2010)PermalinkEvaluating the benefits of multimodal interface design for compass-a mobile GIS / J. Doyle in Geoinformatica, vol 14 n° 2 (April 2010)PermalinkGoing 3D: personal Nav and LBS / R. Chen in GPS world, vol 21 n° 2 (February 2010)PermalinkArbeitsgruppe "Automation in der Kartographie, Photogrammetrie und GIS", Tagung 2009 / Bundesamt für Kartographie und Geodäsie (2010)PermalinkArbeitsgruppe "Automation in der Kartographie, Photogrammetrie und GIS", Tagung 2010 / Bundesamt für Kartographie und Geodäsie (2010)PermalinkEvery thing will be geo-tagged: local search media become social and mobile in 2010 finally / F. Fischer in Geoinformatics, vol 13 n° 1 (01/01/2010)PermalinkPermalinkModélisation d'objets mobiles pour les systèmes d'information géolocalisés itinérants en temps réel / A. Boulmakoul in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 14 n° 5 (septembre - octobre 2009)PermalinkCloaking locations for anonymous location based services: a hybrid approach / C. Zhang in Geoinformatica, vol 13 n° 2 (June 2009)PermalinkGestion de masses de données au sein de bases de données capteurs / Frédéric Bertrand in Revue internationale de géomatique, vol 19 n° 2 (juin - aout 2009)PermalinkLocation-based services for emergencies / P. Christen in GIM international, vol 23 n° 5 (May 2009)PermalinkSpatial database challenges / M. Jackson in GIM international, vol 23 n° 2 (February 2009)PermalinkGéopositionnement et mobilités / Yves Alexandre (2009)PermalinkPermalinkAccès aux services et aux données / Bénédicte Bucher in Bulletin d'information scientifique et technique de l'IGN, n° 76 (décembre 2008)PermalinkInnovative location based services / F. Fischer in Geoinformatics, vol 11 n° 6 (01/09/2008)PermalinkAGNSS [Assisted GNSS] standardisation: the path to success in location-based services / M. Monnerat in Inside GNSS, vol 3 n° 5 (July - August 2008)PermalinkField-Based usability evaluation methodology for mobile geo-applications / Corné P.J.M. Van Elzakker in Cartographic journal (the), vol 45 n° 2 (May 2008)PermalinkLocation approximation for local search services using natural language hints / S. Schockaert in International journal of geographical information science IJGIS, vol 22 n° 3 (march 2008)PermalinkSites web cartographiques dans le domaine routier / Clotilde Mohsen (2008)PermalinkThe value of location for business process optimisation / F. Fischer in Geoinformatics, vol 11 n° 1 (01/01/2008)PermalinkConnecting the tangible and the virtual realm of a city: Wikicity / C. Ratti in Geoinformatics, vol 10 n° 8 (01/12/2007)PermalinkTowards ubiquitous cartography / Georg Gartner in Cartography and Geographic Information Science, vol 34 n° 4 (October 2007)PermalinkWireless campus LBS: a test bed for WiFi positioning and location based services / B. Kobben in Cartography and Geographic Information Science, vol 34 n° 4 (October 2007)PermalinkAre we there yet? GPS a tourism hit / T. Cozzens in GPS world, vol 18 n° 8 (August 2007)PermalinkFrom cartography and mobility to location-based services: a Canadian business perspective / Martin Plante in Geomatica, vol 61 n° 2 (June 2007)PermalinkGI/LBS in Japan in GEO: Geoconnexion international, vol 6 n° 5 (may 2007)PermalinkPoint to discover / René Simon in GEO: Geoconnexion international, vol 6 n° 5 (may 2007)PermalinkNOAA opus / N.D.. Weston in GIM international, vol 21 n° 4 (April 2007)PermalinkEnabling routes of road network constrained movements as mobile service context / A. Brilingaite in Geoinformatica, vol 11 n° 1 (March - May 2007)PermalinkHandling high-level queries in location-based services for user groups / P. Partsinevelos in Geoinformatica, vol 10 n° 2 (June - August 2006)PermalinkMicrosoft et la géolocalisation / Anonyme in Géomatique expert, n° 51 (01/06/2006)PermalinkShaping euro navigation / T. Deloye in GEO: Geoconnexion international, vol 5 n° 5 (may 2006)Permalink