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Providing long-term data about the evolution of railway networks in Europe may help us understand how European Union (EU) member states behave in the long-term, and how they can comply with present EU recommendations. This paper proposes a methodology for collecting data about railway stations, at the maximal extent of the French railway network, a century ago.The expected outcome is a geocoded dataset of French railway stations (gares), which: (a) links gares to each other, (b) links gares with French communes, the basic administrative level for statistical information. Present stations are well documented in public data, but thousands of past stations are sparsely recorded, not geocoded, and often ignored, except in volunteer geographic information (VGI), either collaboratively through Wikipedia or individually. VGI is very valuable in keeping track of that heritage, and remote sensing, including aerial photography is often the last chance to obtain precise locations. The approach is a series of steps: (1) meta-analysis of the public datasets, (2) three-steps fusion: measure-decision-combination, between public datasets, (3) computer-assisted geocoding for ‘gares’ where fusion fails, (4) integration of additional gares gathered from VGI, (5) automated quality control, indicating where quality is questionable. These five families of methods, form a comprehensive computer-assisted reconstruction process (CARP), which constitutes the core of this paper. The outcome is a reliable dataset—in geojson format under open license—encompassing (by January 2021) more than 10,700 items linked to about 7500 of the 35,500 communes of France: that is 60% more than recorded before. This work demonstrates: (a) it is possible to reconstruct transport data from the past, at a national scale; (b) the value of remote sensing and of VGI is considerable in completing public sources from an historical perspective; (c) data quality can be monitored all along the process and (d) the geocoded outcome is ready for a large variety of further studies with statistical data (demography, density, space coverage, CO2 simulation, environmental policies, etc.).
Robert Jeansoulin. A Century of French Railways: The Value of Remote Sensing and VGI in the Fusion of Historical Data. ISPRS International Journal of Geo-Information 2021, 10, 154 .
AMA StyleRobert Jeansoulin. A Century of French Railways: The Value of Remote Sensing and VGI in the Fusion of Historical Data. ISPRS International Journal of Geo-Information. 2021; 10 (3):154.
Chicago/Turabian StyleRobert Jeansoulin. 2021. "A Century of French Railways: The Value of Remote Sensing and VGI in the Fusion of Historical Data." ISPRS International Journal of Geo-Information 10, no. 3: 154.
Since the launch of Landsat-1 in 1972, the scientific domain of geo-information has been incrementally shaped through different periods, due to technology evolutions: in devices (satellites, UAV, IoT), in sensors (optical, radar, LiDAR), in software (GIS, WebGIS, 3D), and in communication (Big Data). Land Cover and Disaster Management remain the main big issues where these technologies are highly required. Data fusion methods and tools have been adapted progressively to new data sources, which are augmenting in volume, variety, and in quick accessibility. This Special Issue gives a snapshot of the current status of that adaptation, as well as looking at what challenges are coming soon.
Robert Jeansoulin. Multi-Source Geo-Information Fusion in Transition: A Summer 2019 Snapshot. ISPRS International Journal of Geo-Information 2019, 8, 330 .
AMA StyleRobert Jeansoulin. Multi-Source Geo-Information Fusion in Transition: A Summer 2019 Snapshot. ISPRS International Journal of Geo-Information. 2019; 8 (8):330.
Chicago/Turabian StyleRobert Jeansoulin. 2019. "Multi-Source Geo-Information Fusion in Transition: A Summer 2019 Snapshot." ISPRS International Journal of Geo-Information 8, no. 8: 330.
Robert Jeansoulin. JavaScript and Open Data. JavaScript and Open Data 2018, 1 .
AMA StyleRobert Jeansoulin. JavaScript and Open Data. JavaScript and Open Data. 2018; ():1.
Chicago/Turabian StyleRobert Jeansoulin. 2018. "JavaScript and Open Data." JavaScript and Open Data , no. : 1.
Looking back at the last four decades, the technologies that have been developed for Earth observation and mapping can shed a light on the technologies that are trending today and on their challenges. Forty years ago, the first digital pictures decided the fate of remote sensing, photogrammetric engineering, GIS, or, for short: of geomatics. This sudden wave of volumes of data triggered the research in fields that Big Data is plowing today: this paper will examine this transition. First, a rapid survey of the technology through the succession of selected terms, will help identify two main periods in the last four decades. Spatial information appears in 1970 with the preparation of Landsat, and Big Data appears in 2010. The method for exploring geomatics’ contribution to Big Data, is to examine each of the “Vs” that are used today to characterize the latter: volume, velocity, variety, visualization, value, veracity, validity, and variability. Geomatics has been confronted to each of these facets during the period. The discussion compares the answers offered early by geomatics, with the situation in Big Data today. Over a very large range of issues, from signal processing to the semantics of information, geomatics has made contributions to many data models and algorithms. Big Data now enables geographic information to be disseminated much more widely, and to benefit from new information sources, expanding through the Internet of Things towards a future Digital Earth. Some of the lessons learned during the four decades of geomatics can also be lessons for Big Data today, and for the future of geomatics.
Robert Jeansoulin. Review of Forty Years of Technological Changes in Geomatics toward the Big Data Paradigm. ISPRS International Journal of Geo-Information 2016, 5, 155 .
AMA StyleRobert Jeansoulin. Review of Forty Years of Technological Changes in Geomatics toward the Big Data Paradigm. ISPRS International Journal of Geo-Information. 2016; 5 (9):155.
Chicago/Turabian StyleRobert Jeansoulin. 2016. "Review of Forty Years of Technological Changes in Geomatics toward the Big Data Paradigm." ISPRS International Journal of Geo-Information 5, no. 9: 155.
This chapter contains sections titled: Introduction Sources and types of errors Definitions of the concept of quality Conclusion References
Rodolphe Devillers; Robert Jeansoulin. Spatial Data Quality: Concepts. Fundamentals of Spatial Data Quality 2010, 31 -42.
AMA StyleRodolphe Devillers, Robert Jeansoulin. Spatial Data Quality: Concepts. Fundamentals of Spatial Data Quality. 2010; ():31-42.
Chicago/Turabian StyleRodolphe Devillers; Robert Jeansoulin. 2010. "Spatial Data Quality: Concepts." Fundamentals of Spatial Data Quality , no. : 31-42.
This introductory chapter serves two purposes. First, it provides a brief overview of research trends in different areas of information processing for the handling of uncertain spatial information. The discussion focuses on the diversity of spatial information, and the different challenges that may arise. Second, an overview of the contents of this edited volume is presented. We also point out the novelty of the book, which goes beyond geographical information systems and considers different forms of quantitative and qualitative uncertainty.
Robert Jeansoulin; Odile Papini; Henri Prade; Steven Schockaert. Introduction: Uncertainty Issues in Spatial Information. Computational Intelligence 2010, 1 -11.
AMA StyleRobert Jeansoulin, Odile Papini, Henri Prade, Steven Schockaert. Introduction: Uncertainty Issues in Spatial Information. Computational Intelligence. 2010; ():1-11.
Chicago/Turabian StyleRobert Jeansoulin; Odile Papini; Henri Prade; Steven Schockaert. 2010. "Introduction: Uncertainty Issues in Spatial Information." Computational Intelligence , no. : 1-11.
The revision problem is known to be a very hard problem. There is no revision algorithm which is able to handle a large amount of data. Geographical information systems (GIS) are characterized by a huge amount of data, often gathered from different sources of information, which are imperfect and whose quality can differ. Therefore GIS require the definition, and the use of belief revision. Literature on the topics shows that all known revision operators (i.e. from a global point of view), are unable to solve problems of this size. In this chapter, we show how to take advantage of the geographical context to define local revision operators that can be combined to handle the global revision problem. For this purpose, we define a postulate that may be assumed with geographical data – the containment assumption – and we show how this postulate can be captured by a new knowledge representation model, the G-structure model. Then we define a revision operation on this model, which can be run locally, and we apply this operation on a real experiment, with real data, which we succeed to process, correctly, though the global revision always failed.
Omar Doukari; Robert Jeansoulin; Eric Würbel. Revising Geographical Knowledge: A Model for Local Belief Change. Granular Computing: At the Junction of Rough Sets and Fuzzy Sets 2010, 256, 165 -188.
AMA StyleOmar Doukari, Robert Jeansoulin, Eric Würbel. Revising Geographical Knowledge: A Model for Local Belief Change. Granular Computing: At the Junction of Rough Sets and Fuzzy Sets. 2010; 256 ():165-188.
Chicago/Turabian StyleOmar Doukari; Robert Jeansoulin; Eric Würbel. 2010. "Revising Geographical Knowledge: A Model for Local Belief Change." Granular Computing: At the Junction of Rough Sets and Fuzzy Sets 256, no. : 165-188.
International audienceThe modelling of processes that occur in landscapes is often confronted to issues related to the representation of space and the difficulty of properly handling time and multiple scales. In order to investigate these issues, a flexible modelling environment is required. We propose to develop such a tool based on a Domain Specific Language (DSL) that capitalises on the service-oriented architecture (SOA) paradigm. The modelling framework around the DSL is composed of a model building environment, a code generator and compiler, and a program execution platform. The DSL introduces five language elements (entity, service, relation, scenario and datafacer) that can be combined to offer a wide range of possibilities for modelling in space and time at different scales. When developing a model, model parts are either built using the DSL or taken from libraries of previously built ones, and adapted to the specific model. The practical usage of the DSL is illustrated first with the Lotka-Volterra model, and then with a landscape modelling experiment on the spread of a mosquito-borne disease in the Sahelian region of West Africa. An interesting characteristic of this approach is the possibility of adding new elements into an existing model, and replacing others with more appropriate ones, thus allowing potentially complex models to be built from simpler parts
P. Degenne; D. Lo Seen; D. Parigot; R. Forax; A. Tran; A. Ait Lahcen; O. Curé; R. Jeansoulin. Design of a Domain Specific Language for modelling processes in landscapes. Ecological Modelling 2009, 220, 3527 -3535.
AMA StyleP. Degenne, D. Lo Seen, D. Parigot, R. Forax, A. Tran, A. Ait Lahcen, O. Curé, R. Jeansoulin. Design of a Domain Specific Language for modelling processes in landscapes. Ecological Modelling. 2009; 220 (24):3527-3535.
Chicago/Turabian StyleP. Degenne; D. Lo Seen; D. Parigot; R. Forax; A. Tran; A. Ait Lahcen; O. Curé; R. Jeansoulin. 2009. "Design of a Domain Specific Language for modelling processes in landscapes." Ecological Modelling 220, no. 24: 3527-3535.
Olivier Curé; Robert Jeansoulin. An FCA-based Solution for Ontology Mediation. Journal of Computing Science and Engineering 2009, 3, 90 -108.
AMA StyleOlivier Curé, Robert Jeansoulin. An FCA-based Solution for Ontology Mediation. Journal of Computing Science and Engineering. 2009; 3 (2):90-108.
Chicago/Turabian StyleOlivier Curé; Robert Jeansoulin. 2009. "An FCA-based Solution for Ontology Mediation." Journal of Computing Science and Engineering 3, no. 2: 90-108.
In [1], the authors have extended Parikh’s relevance-sensitive model for belief revision by defining a new model for belief representation and local belief revision called C-structure Model. This model allows to make local revision when Parikh’s model fails to do it: the case of “fully overlapping belief sets”. Using Grove’s system of spheres construction, we consider additional constraints to define an ordering between interpretations, and show that these constraints allow to formalize perfectly the local revision by the mean of C-structure model, thus providing a well defined semantics for revision of C-structures.
Omar Doukari; Eric Würbel; Robert Jeansoulin. Distance-Based Semantics for C-Structure Belief Revision. Computer Vision 2009, 359 -370.
AMA StyleOmar Doukari, Eric Würbel, Robert Jeansoulin. Distance-Based Semantics for C-Structure Belief Revision. Computer Vision. 2009; ():359-370.
Chicago/Turabian StyleOmar Doukari; Eric Würbel; Robert Jeansoulin. 2009. "Distance-Based Semantics for C-Structure Belief Revision." Computer Vision , no. : 359-370.
Abdelbasset Guemeida; Robert Jeansoulin; Gabriella Salzano. A Quality-Aware Approach for the Early Steps of the Integration of Environmental Systems. Quality Aspects in Spatial Data Mining 2008, 251 -263.
AMA StyleAbdelbasset Guemeida, Robert Jeansoulin, Gabriella Salzano. A Quality-Aware Approach for the Early Steps of the Integration of Environmental Systems. Quality Aspects in Spatial Data Mining. 2008; ():251-263.
Chicago/Turabian StyleAbdelbasset Guemeida; Robert Jeansoulin; Gabriella Salzano. 2008. "A Quality-Aware Approach for the Early Steps of the Integration of Environmental Systems." Quality Aspects in Spatial Data Mining , no. : 251-263.
Olivier Curé; Robert Jeansoulin. An FCA-based solution for ontology mediation. Proceeding of the 2nd international workshop on Patent information retrieval - PaIR '09 2008, 1 .
AMA StyleOlivier Curé, Robert Jeansoulin. An FCA-based solution for ontology mediation. Proceeding of the 2nd international workshop on Patent information retrieval - PaIR '09. 2008; ():1.
Chicago/Turabian StyleOlivier Curé; Robert Jeansoulin. 2008. "An FCA-based solution for ontology mediation." Proceeding of the 2nd international workshop on Patent information retrieval - PaIR '09 , no. : 1.
Omar Doukari; Robert Jeansoulin; Eric Würbel. Revision of Spatial Information by Containment. Computer Vision 2008, 939 -944.
AMA StyleOmar Doukari, Robert Jeansoulin, Eric Würbel. Revision of Spatial Information by Containment. Computer Vision. 2008; ():939-944.
Chicago/Turabian StyleOmar Doukari; Robert Jeansoulin; Eric Würbel. 2008. "Revision of Spatial Information by Containment." Computer Vision , no. : 939-944.
Omar Doukari; Robert Jeansoulin; Eric Würbel. A New Framework for Local Belief Revision. Computer Vision 2008, 54 -64.
AMA StyleOmar Doukari, Robert Jeansoulin, Eric Würbel. A New Framework for Local Belief Revision. Computer Vision. 2008; ():54-64.
Chicago/Turabian StyleOmar Doukari; Robert Jeansoulin; Eric Würbel. 2008. "A New Framework for Local Belief Revision." Computer Vision , no. : 54-64.
Florence Dupin de Saint-Cyr; Robert Jeansoulin; Henri Prade. Fusing Uncertain Structured Spatial Information. Computer Vision 2008, 174 -188.
AMA StyleFlorence Dupin de Saint-Cyr, Robert Jeansoulin, Henri Prade. Fusing Uncertain Structured Spatial Information. Computer Vision. 2008; ():174-188.
Chicago/Turabian StyleFlorence Dupin de Saint-Cyr; Robert Jeansoulin; Henri Prade. 2008. "Fusing Uncertain Structured Spatial Information." Computer Vision , no. : 174-188.
The objective of this paper is twofold: create domain ontologies by induction on source databases and enhance data quality features in relational databases using these ontologies. The proposed method consists of the following steps : (1) transforming domain specific controlled terminologies into Semantic Web compliant Description Logics, (2) associating new axioms to concepts of these ontologies based on inductive reasoning on source databases, and (3) providing domain experts with an ontology-based tool to enhance the data quality of source databases. This last step aggregates tuples using ontology concepts and checks the characteristics of those tuples with the concept’s properties. We present a concrete example of this solution on a medical application using well-established drug related terminologies.
Olivier Curé; Robert Jeansoulin. Data Quality Enhancement of Databases Using Ontologies and Inductive Reasoning. Computer Vision 2007, 1117 -1134.
AMA StyleOlivier Curé, Robert Jeansoulin. Data Quality Enhancement of Databases Using Ontologies and Inductive Reasoning. Computer Vision. 2007; ():1117-1134.
Chicago/Turabian StyleOlivier Curé; Robert Jeansoulin. 2007. "Data Quality Enhancement of Databases Using Ontologies and Inductive Reasoning." Computer Vision , no. : 1117-1134.
In this paper, we generalize the idea of a containment property of an inconsistency defined in a spatial context and propose a new model for belief representation and local belief revision by extending the two models LS (language splitting) and B-structure (belief structure) introduced respectively by R. Parikh and S. Chopra. The property of containment limits the effects of quality which means that an inconsistency cannot have an infinite influence on other information, but in an "area of local effect" which depends on the nature of data. For example, in meteorology, the effect is limited to a continental scale. It also depends on the structure or topology of information and the constraints defined on this structure.
Omar Doukari; Eric Würbel; Robert Jeansoulin. A New Model for Belief Representation and Belief Revision Based on Inconsistencies Locality. 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007) 2007, 2, 262 -269.
AMA StyleOmar Doukari, Eric Würbel, Robert Jeansoulin. A New Model for Belief Representation and Belief Revision Based on Inconsistencies Locality. 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007). 2007; 2 ():262-269.
Chicago/Turabian StyleOmar Doukari; Eric Würbel; Robert Jeansoulin. 2007. "A New Model for Belief Representation and Belief Revision Based on Inconsistencies Locality." 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007) 2, no. : 262-269.
Qualité des données géographiques. Obligations juridiques potentielles et modèle du producteur raisonnable
Marc Gervais; Yvan Bédard; Robert Jeansoulin; Bernard Cervelle. Qualité des données géographiques. Obligations juridiques potentielles et modèle du producteur raisonnable. Revue Internationale de Géomatique 2007, 17, 33 -62.
AMA StyleMarc Gervais, Yvan Bédard, Robert Jeansoulin, Bernard Cervelle. Qualité des données géographiques. Obligations juridiques potentielles et modèle du producteur raisonnable. Revue Internationale de Géomatique. 2007; 17 (1):33-62.
Chicago/Turabian StyleMarc Gervais; Yvan Bédard; Robert Jeansoulin; Bernard Cervelle. 2007. "Qualité des données géographiques. Obligations juridiques potentielles et modèle du producteur raisonnable." Revue Internationale de Géomatique 17, no. 1: 33-62.
Using qualitative reasoning with geographic information, contrarily, for instance, with robotics, looks not only fastidious (i.e.: encoding knowledge Propositional Logics PL), but appears to be computational complex, and not tractable at all, most of the time. However, knowledge fusion or revision, is a common operation performed when users merge several different data sets in a unique decision making process, without much support. Introducing logics would be a great improvement, and we propose in this paper, means for deciding -a priori- if one application can benefit from a complete revision, under only the assumption of a conjecture that we name the "containment conjecture", which limits the size of the minimal conflicts to revise. We demonstrate that this conjecture brings us the interesting computational property of performing a not-provable but global, revision, made of many local revisions, at a tractable size. We illustrate this approach on an application.
Omar Doukari; Robert Jeansoulin. Space-contained conflict revision, for geographic information. 2007, 1 .
AMA StyleOmar Doukari, Robert Jeansoulin. Space-contained conflict revision, for geographic information. . 2007; ():1.
Chicago/Turabian StyleOmar Doukari; Robert Jeansoulin. 2007. "Space-contained conflict revision, for geographic information." , no. : 1.
Geospatial data users increasingly face the need to assess how datasets fit an intended use. However, information describing data quality is typically difficult to access and understand. Therefore, data quality is often neglected by users, leading to risks of misuse. Understanding data quality is a complex task that may involve thousands of partially related metadata. For complex cases where heterogeneous datasets have to be integrated, there is a need for tools supporting data quality analysis. This paper presents the design of such a tool that can manage heterogeneous data quality information and provide functions to support expert users in the assessment of the fitness for use of a given dataset. Combining concepts from GIS and Business Intelligence, this approach provides interactive, multi‐granularity and context‐sensitive spatial data quality indicators that help experts to build and justify their opinions. A prototype called the Multidimensional User Manual is presented to illustrate this approach.
R. Devillers; Y. Bedard; Robert Jeansoulin; B. Moulin. Towards spatial data quality information analysis tools for experts assessing the fitness for use of spatial data. International Journal of Geographical Information Science 2007, 21, 261 -282.
AMA StyleR. Devillers, Y. Bedard, Robert Jeansoulin, B. Moulin. Towards spatial data quality information analysis tools for experts assessing the fitness for use of spatial data. International Journal of Geographical Information Science. 2007; 21 (3):261-282.
Chicago/Turabian StyleR. Devillers; Y. Bedard; Robert Jeansoulin; B. Moulin. 2007. "Towards spatial data quality information analysis tools for experts assessing the fitness for use of spatial data." International Journal of Geographical Information Science 21, no. 3: 261-282.