Centre dedocumentation
scientifique

A user-driven process for INSPIRE-compliant land use database: example from Wallonia, Belgium / Benjamin Beaumont in Annals of GIS, vol 27 n° 2 (April 2021)  

Public [article]  inAnnals of GIS > vol 27 n° 2 (April 2021) . - pp 211 - 224 Titre : A user-driven process for INSPIRE-compliant land use database: example from Wallonia, Belgium Type de document : Article/Communication Auteurs : Benjamin Beaumont, Auteur ; Tais Grippa, Auteur ; Moritz Lennert, Auteur Année de publication : 2021 Article en page(s) : pp 211 - 224 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] aménagement du territoire [Termes IGN] base de données foncières [Termes IGN] carte d'occupation du sol [Termes IGN] chaîne de traitement [Termes IGN] données massives [Termes IGN] édition en libre accès [Termes IGN] infrastructure européenne de données localisées [Termes IGN] INSPIRE [Termes IGN] utilisateur [Termes IGN] utilisation du sol [Termes IGN] Wallonie (Belgique) Résumé : (auteur) Regional land use monitoring at high spatial, temporal, and thematic resolution is an important expectation of Walloon stakeholders. Over the last decade, increased data-processing capacities and the annual acquisition of remotely sensed data have resulted in the production of a large amount of relevant geodata. The INSPIRE directive and its obligations for 2020 serve as a path for the development of a new user-driven and open-source hierarchical land use classification system mapping scheme, as presented in this paper. The process includes intensive user consultation, the development of an entire automatic processing chain, and efforts to address challenges such as big data handling, the variability of input data properties, and reproducibility. The thematically detailed land use map, with its 69 classes, is already widely used by Walloon stakeholders, and new demands for updating have already emerged. Based on a European classification system that is compulsory for all member states, INSPIRE-compliant land use maps will make it possible to carry out cross-border studies and compare spatial planning strategies between states. Numéro de notice : A2021-626 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/19475683.2021.1875047 Date de publication en ligne : 17/01/2021 En ligne : https://doi.org/10.1080/19475683.2021.1875047 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98256 [article]

An introduction to ethics in robotics and AI / Christoph Bartneck (2021)  

Public Titre : An introduction to ethics in robotics and AI Type de document : Monographie Auteurs : Christoph Bartneck, Auteur ; Christoph Lütge, Auteur ; Alan Wagner, Auteur ; Sean Welsch, Auteur Editeur : Springer International Publishing Année de publication : 2021 Importance : 117 p Présentation : . Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-51110-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] données massives [Termes IGN] édition en libre accès [Termes IGN] éthique [Termes IGN] navigation autonome [Termes IGN] protection de la vie privée [Termes IGN] robotique [Termes IGN] utilisateur militaire [Termes IGN] véhicule sans pilote Résumé : (éditeur) This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further. Note de contenu : 1- What is AI? 2- What is ethics? 3- Trust and fairness in AI systems 4- Responsibility and liability in the case of AI systems 5- Risks in the business of AI 6- Psychological aspects of AI 7- Privacy issues of AI 8- Application areas of AI 9- Autonomous vehicles 10- Military uses of AI 11- Ethics in AI and Robotics: A Strategic Challenge Numéro de notice : 28570 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Monographie DOI : 10.1007/978-3-030-51110-4 En ligne : https://doi.org/10.1007/978-3-030-51110-4 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97726

Artificial intelligence for a better future / Bernd Carsten Stahl (2021)  

Public Titre : Artificial intelligence for a better future : An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies Type de document : Monographie Auteurs : Bernd Carsten Stahl, Auteur Editeur : Manchester [Royaume-Uni] : Manchester University Press Année de publication : 2021 Collection : European Research Council Importance : 128 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-69978-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] apprentissage automatique [Termes IGN] bien-être collectif [Termes IGN] droit [Termes IGN] édition en libre accès [Termes IGN] éthique [Termes IGN] règle Résumé : (éditeur) This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place. Note de contenu : Introduction 1- Perspectives on artificial intelligence 2- Concepts of ethics and their application to AI 3- Ethical issues of AI 4- Addressing ethical issues in AI 5- AI ecosystems for human flourishing: The background 6- AI ecosystems for human flourishing: The recommendations Conclusion Numéro de notice : 28321 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Monographie DOI : 10.1007/978-3-030-69978-9 En ligne : https://doi.org/10.1007/978-3-030-69978-9 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98275

Towards self-service GIS - Combining the best of the semantic web and web GIS / Alexandra Rowland in ISPRS International journal of geo-information, vol 9 n° 12 (December 2020)  

Public [article]  inISPRS International journal of geo-information > vol 9 n° 12 (December 2020) . - n° 753 Titre : Towards self-service GIS - Combining the best of the semantic web and web GIS Type de document : Article/Communication Auteurs : Alexandra Rowland, Auteur ; Erwin Folmer, Auteur ; Wouter Beek, Auteur Année de publication : 2020 Article en page(s) : n° 753 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] édition en libre accès [Termes IGN] interopérabilité [Termes IGN] programme interactif [Termes IGN] Web des données [Termes IGN] web sémantique [Termes IGN] WebSIG Résumé : (auteur) The field of geographic information science has grown exponentially over the last few decades and, particularly within the context of the pervasiveness of the internet, bears witness to a rapid transition of its associated technologies from stand-alone systems to increasingly networked and distributed systems as geospatial information becomes increasingly available online. With its long-standing history for innovation, the field has adopted many disruptive technologies from the fields of computer and information sciences through this transition towards web geographic information systems (GIS); most interestingly in the context of this research is the limited uptake of semantic web technologies by the field and its associated technologies, the lack of which has resulted in a technological disjoint between these fields. As the field seeks to make geospatial information more accessible to more users and in more contexts through ‘self-service’ applications, the use of these technologies is imperative to support the interoperability between distributed data sources. This paper aims to provide insight into what linked data tooling already exists, and based on the features of these, what may be possible for the achievement of self-service GIS. Findings include what visualisation, interactivity, analytics and usability features could be included in the realisation of self-service GIS, pointing to the opportunities that exist in bringing GIS technologies closer to the user. Numéro de notice : A2020-810 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9120753 Date de publication en ligne : 15/12/2020 En ligne : https://doi.org/10.3390/ijgi9120753 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96955 [article]

Building facade reconstruction using crowd-sourced photos and two-dimensional maps / Wu Jie in Photogrammetric Engineering & Remote Sensing, PERS, vol 86 n° 11 (November 2020)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 86 n° 11 (November 2020) . - pp 677 - 694 Titre : Building facade reconstruction using crowd-sourced photos and two-dimensional maps Type de document : Article/Communication Auteurs : Wu Jie, Auteur ; Junya Mao, Auteur ; Song Chen, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 677 - 694 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] Chine [Termes IGN] données lidar [Termes IGN] données localisées des bénévoles [Termes IGN] données vectorielles [Termes IGN] édition en libre accès [Termes IGN] façade [Termes IGN] image multi sources [Termes IGN] implémentation (informatique) [Termes IGN] reconstruction 2D du bâti [Termes IGN] reconstruction 3D du bâti [Termes IGN] semis de points Résumé : (Auteur) To address the high-cost problem of the current three-dimensional (3D) reconstruction for urban buildings, a new technical framework is proposed to generate 3D building facade information using crowd-sourced photos and two-dimensional (2D) building vector data in this paper. The crowd-sourced photos mainly consisted of Tencent street view images and other-source photos, which were collected from three platforms, including search engines, social media, and mobile phones. The photos were selected and grouped first, and then a structure from motion algorithm was used for 3D reconstruction. Finally, the reconstructed point clouds were registered with 2D building vector data. The test implementation was conducted in the Jianye District of Nanjing, China, and the generated point clouds showed a good fit with the true values. The proposed 3D reconstruction method represents a multi-sourced data integration process. The advantage of the proposed approach lies in the open source and low-cost data used in this study. Numéro de notice : A2020-708 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.86.11.677 Date de publication en ligne : 01/11/2020 En ligne : https://doi.org/10.14358/PERS.86.11.677 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96393 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
105-2020111	SL	Revue	Centre de documentation	Revues en salle	Disponible

CityJSON in QGIS: Development of an open‐source plugin / Stelios Vitalis in Transactions in GIS, Vol 24 n° 5 (October 2020)  

Permalink

Open data, big data : quel renouveau du raisonnement cartographique ? / Emilie Lerond in Cartes & Géomatique, n° 235-236 (mars - juin 2018)

Permalink

Infrastructures de données géographiques et observatoires de recherche en environnement : Un exemple de mise en œuvre / Françoise Gourmelon in Revue internationale de géomatique, vol 27 n° 3 (juillet-septembre 2017)  

Permalink

Système d’information spatiotemporel pour l’intégration et l’exploitation de données environnementales / Ba-Huy Tran in Revue internationale de géomatique, vol 27 n° 3 (juillet-septembre 2017)  

Permalink

Le travail de la science et le numérique : Données, publications, plateformes / Direction de l'information scientifique et technique - CNRS (20/02/2017)  

Permalink

HAL : une archive ouverte tournée vers ses utilisateurs / Christine Berthaud in Arabesques, n° 84 (février - mars 2017) 

Permalink

OpenEdition : comprendre le monde en accès ouvert / Marin Dacos in Arabesques, n° 84 (février - mars 2017) 

Permalink

La politique nationale de l’IST au service de la recherche / Sophie Mazens in Arabesques, n° 84 (février - mars 2017) 

Permalink

Big data et traçabilité numérique / Pierre-Michel Menger (2017)  

Permalink

Sur quoi reposent nos infrastructures numériques ? / Nadia Eghbal (2017)  

Permalink