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Auteur Michela Bertolotto |
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Affiner la recherche Interroger des sources externesSherloc: a knowledge-driven algorithm for geolocating microblog messages at sub-city level / Laura Di Rocco in International journal of geographical information science IJGIS, vol 35 n° 1 (January 2021)
Titre : Sherloc: a knowledge-driven algorithm for geolocating microblog messages at sub-city level Type de document : Article/Communication Auteurs : Laura Di Rocco, Auteur ; Michela Bertolotto, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 84 - 115 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] données localisées
[Termes IGN] géolocalisation
[Termes IGN] inférence
[Termes IGN] microblogue
[Termes IGN] répertoire toponymique
[Termes IGN] segmentation sémantique
[Termes IGN] système à base de connaissances
[Termes IGN] toponyme
[Termes IGN] zone urbaineRésumé : (auteur) Many solutions for coarse geolocating of users at the time they post a message exist. However, for many important applications, like traffic monitoring and event detection, finer geolocation at the level of city neighborhoods, i.e., at a sub-city level, is needed. Data-driven approaches often do not guarantee good accuracy and efficiency due to the higher number of sub-city level positions to be estimated and the low availability of balanced and large training sets. We claim that external information sources overcome limitations of data-driven approaches in achieving good accuracy for sub-city level geolocation and we present a knowledge-driven approach achieving good results once the reference area of a message is known. Our algorithm, called Sherloc, exploits toponyms in the message, extracts their semantic from a geographic gazetteer, and embeds them into a metric space that captures the semantic distance among them. We identify the semantically closest toponyms to a message and then cluster them with respect to their spatial locations. Sherloc requires no prior training, it can infer the location at sub-city level with high accuracy, and it is not limited to geolocating on a fixed spatial grid. Numéro de notice : A2021-021 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2020.1764003 Date de publication en ligne : 16/06/2020 En ligne : https://doi.org/10.1080/13658816.2020.1764003 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96521
in International journal of geographical information science IJGIS > vol 35 n° 1 (January 2021) . - pp 84 - 115[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 079-2021011 SL Revue Centre de documentation Revues en salle Disponible
Titre : A spatio-temporal index for aerial full waveform laser scanning data Type de document : Article/Communication Auteurs : Debra F. Laefer, Auteur ; Anh-Vu Vo, Auteur ; Michela Bertolotto, Auteur Année de publication : 2018 Article en page(s) : pp 232 - 251 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre-R
[Termes IGN] base de données localisées
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forme d'onde pleine
[Termes IGN] index spatiotemporel
[Termes IGN] indexation spatiale
[Termes IGN] octreeRésumé : (Auteur) Aerial laser scanning is increasingly available in the full waveform version of the raw signal, which can provide greater insight into and control over the data and, thus, richer information about the scanned scenes. However, when compared to conventional discrete point storage, preserving raw waveforms leads to vastly larger and more complex data volumes. To begin addressing these challenges, this paper introduces a novel bi-level approach for storing and indexing full waveform (FWF) laser scanning data in a relational database environment, while considering both the spatial and the temporal dimensions of that data. In the storage scheme's upper level, the full waveform datasets are partitioned into spatial and temporal coherent groups that are indexed by a two-dimensional R∗-tree. To further accelerate intra-block data retrieval, at the lower level a three-dimensional local octree is created for each pulse block. The local octrees are implemented in-memory and can be efficiently written to a database for reuse. The indexing solution enables scalable and efficient three-dimensional (3D) spatial and spatio-temporal queries on the actual pulse data - functionalities not available in other systems. The proposed FWF laser scanning data solution is capable of managing multiple FWF datasets derived from large flight missions. The flight structure is embedded into the data storage model and can be used for querying predicates. Such functionality is important to FWF data exploration since aircraft locations and orientations are frequently required for FWF data analyses. Empirical tests on real datasets of up to 1 billion pulses from Dublin, Ireland prove the almost perfect scalability of the system. The use of the local 3D octree in the indexing structure accelerated pulse clipping by 1.2–3.5 times for non-axis-aligned (NAA) polyhedron shaped clipping windows, while axis-aligned (AA) polyhedron clipping was better served using only the top indexing layer. The distinct behaviours of the hybrid indexing for AA and NAA clipping windows are attributable to the different proportion of the local-index-related overheads with respect to the total querying costs. When temporal constraints were added, generally the number of costly spatial checks were reduced, thereby shortening the querying times. Numéro de notice : A2018-125 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.01.012 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.01.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89587
in ISPRS Journal of photogrammetry and remote sensing > vol 138 (April 2018) . - pp 232 - 251[article]Exemplaires(3)
Code-barres Cote Support Localisation Section Disponibilité 081-2018041 RAB Revue Centre de documentation En réserve L003 Disponible 081-2018043 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2018042 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Volunteered geographic information and the future of geospatial data / Claudio Elizio Calazans Campelo (2017)
Titre : Volunteered geographic information and the future of geospatial data Type de document : Monographie Auteurs : Claudio Elizio Calazans Campelo, Éditeur scientifique ; Michela Bertolotto, Éditeur scientifique ; Padraig Corcoran, Éditeur scientifique Editeur : Hershey [USA] : IGI Global Année de publication : 2017 Collection : Advances in Geospatial Technologies (AGT) Book Series, ISSN 2327-5715 Importance : 357 p. Format : 22 x 29 cm ISBN/ISSN/EAN : 978-1-5225-2446-5 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] cartographie collaborative
[Termes IGN] données localisées des bénévoles
[Termes IGN] qualité des donnéesIndex. décimale : 37.50 Géomatique web Résumé : (Editeur) Geographic data is a valuable source of information in modern society. By utilizing alternative sources of this data, the availability and potential applications of geographic information systems can be increased. This book is a pivotal reference source for the latest scholarly research on information gathering from volunteers, as opposed to official agencies and private companies, to compile geospatial data. Highlighting a range of pertinent topics such as regional landscape mapping, road safety, and land usage, this book is ideally designed for researchers, academics, students, professionals, and practitioners interested in the growing area of volunteered geographic information. Note de contenu : Chapter 1 - Engaging With the Participatory Geoweb: Experiential Learning From Practice / Jon M. Corbett, Logan Cochrane
Chapter 2 - Quality Evaluation of Volunteered Geographic Information: The Case of OpenStreetMap / Hongyu Zhang, Jacek Malczewski
Chapter 3 - Traditional vs. Machine-Learning Techniques for OSM Quality Assessment / Musfira Jilani, Michela Bertolotto, Padraig Corcoran, Amerah Alghanim
Chapter 4 - VGI in the Geoweb: An Experiment to Test Data Reliability / Michael Buzzelli, David Brown, Kenwoo Lee, Justin Mullan
Chapter 5 - Quality Assessment of Volunteered Geographic Information for Educational Planning / Hafiz Muhammad Muzaffar, Ali Tahir, Asmat Ali, Munir Ahmad, Gavin McArdle
Chapter 6 - Emotional and Subjective Volunteered Geographical Information / Jiri Panek
Chapter 7 - Using OpenStreetMap to Create Land Use and Land Cover Maps: Development of an Application / Cidália Costa Fonte, Joaquim António Patriarca, Marco Minghini, Vyron Antoniou, Linda See, Maria Antonia Brovelli
Chapter 8 - Mapping Regional Landscape by Using OpenstreetMap (OSM): A Case Study to Understand Forest Patterns in Maya Zone, Mexico / Di Yang
Chapter 9 - Leveraging Volunteered Geographic Information to Improve Disaster Resilience: Lessons Learned From AGORA and Future Research Directions / João Porto de Albuquerque, Flávio Eduardo Aoki Horita, Livia Castro Degrossi, Roberto dos Santos Rocha, Sidgley Camargo de Andrade, Camilo Restrepo-Estrada, Werner Leyh
Chapter 10 - Quality of Urban Life Index From Location-Based Social Networks Data: A Case Study in Belo Horizonte, Brazil / Rodrigo Smarzaro, Tiago França Melo de Lima, Clodoveu Augusto Davis Jr.
Chapter 11 - Improving Accessibility Through VGI and Crowdsourcing / Igor Gomes Cruz, Claudio E.C. Campelo
Chapter 12 - Gathering Road Safety Critical Information From Users / Ahmet Yıldız
Chapter 13 - Generation of a Data Model for Indoor Navigation Based on Volunteered Geospatial Information (VGI) / Rahim Ali Abbaspour, Simin S. Mirvahabi
Chapter 14 - Adaptive Acquisition of VGI to Fill Out Gaps in Biological Observation Metadata / Daniel Cintra Cugler, Claudia Bauzer Medeiros
Chapter 15 - Geospatial Digital Rights Management: Challenge to Global Spatial Data Infrastructure / Titus M. Ng'ang'a, Peter M. Wachira, Tim J. L. Wango, Joseph M. Ndung'u, Margaret N. NdungoNuméro de notice : 22767 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86708
Titre : A structural-lexical measure of semantic similarity for geo-knowledge graphs Type de document : Article/Communication Auteurs : Andrea Ballatore, Auteur ; Michela Bertolotto, Auteur ; David C. Wilson, Auteur Année de publication : 2015 Article en page(s) : pp 471 - 492 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] graphe
[Termes IGN] noeud
[Termes IGN] ontologie
[Termes IGN] OpenStreetMap
[Termes IGN] réseau sémantique
[Termes IGN] similitude sémantique
[Termes IGN] web sémantiqueRésumé : (auteur) Graphs have become ubiquitous structures to encode geographic knowledge online. The Semantic Web’s linked open data, folksonomies, wiki websites and open gazetteers can be seen as geo-knowledge graphs, that is labeled graphs whose vertices represent geographic concepts and whose edges encode the relations between concepts. To compute the semantic similarity of concepts in such structures, this article defines the network-lexical similarity measure (NLS). This measure estimates similarity by combining two complementary sources of information: the network similarity of vertices and the semantic similarity of the lexical definitions. NLS is evaluated on the OpenStreetMap Semantic Network, a crowdsourced geo-knowledge graph that describes geographic concepts. The hybrid approach outperforms both network and lexical measures, obtaining very strong correlation with the similarity judgments of human subjects. Numéro de notice : A2015-707 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi4020471 En ligne : https://doi.org/10.3390/ijgi4020471 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78344
in ISPRS International journal of geo-information > vol 4 n°2 (June 2015) . - pp 471 - 492[article]
Titre : An evaluative baseline for geo-semantic relatedness and similarity Type de document : Article/Communication Auteurs : Andrea Ballatore, Auteur ; Michela Bertolotto, Auteur ; D. Wilson, Auteur Année de publication : 2014 Article en page(s) : pp 747-767 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] intégration de données
[Termes IGN] relation sémantique
[Termes IGN] requête (informatique)
[Termes IGN] système d'information géographiqueRésumé : (Auteur) In geographic information science and semantics, the computation of semantic similarity is widely recognised as key to supporting a vast number of tasks in information integration and retrieval. By contrast, the role of geo-semantic relatedness has been largely ignored. In natural language processing, semantic relatedness is often confused with the more specific semantic similarity. In this article, we discuss a notion of geo-semantic relatedness based on Lehrer’s semantic fields, and we compare it with geo-semantic similarity. We then describe and validate the Geo Relatedness and Similarity Dataset (GeReSiD), a new open dataset designed to evaluate computational measures of geo-semantic relatedness and similarity. This dataset is larger than existing datasets of this kind, and includes 97 geographic terms combined into 50 term pairs rated by 203 human subjects. GeReSiD is available online and can be used as an evaluation baseline to determine empirically to what degree a given computational model approximates geo-semantic relatedness and similarity. Numéro de notice : A2014-461 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0197-8 Date de publication en ligne : 31/01/2014 En ligne : https://doi.org/10.1007/s10707-013-0197-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74033
in Geoinformatica > vol 18 n° 4 (October 2014) . - pp 747-767[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2014041 RAB Revue Centre de documentation En réserve L003 Disponible PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalink
