Franck Favetta

Integration of Similar Location Based Services Proposed by Several Providers

Due to the fact that mobile devices are in widespread use, many applications including Location Based Services (LBS) had been involved to deliver relevant information to customers anywhere at any time and thus based on their profile and geographical position. However, with the increasing number of geographical data and distributed geospatial applications with heterogeneous databases, many problems may arise related to 1) the interoperability of geographical databases, 2) the integration of geospatial data / metadata of services and 3) the development of user friendly visual portals on mobiles. As many LB standards like OGC and applications were demonstrating the feasibility of portals from a unique provider, the objective of this paper is to pursue further in the approach of generating visual portals by allowing many providers to commercialize their services overlaid on a unique base-map. Furthermore, we have implemented this approach via our prototype MPLoM (Multi-Providers LBS on Mobile Devices).

Uncertain Geoinformation Representation and Reasoning: A Use Case in LBS Integration

Due to the fact that mobile devices are in widespread use, many applications including Location Based Services (LBS) had been involved to deliver relevant information to customers anywhere at any time and thus based on their profile and geographical position. However, with the increasing number of heterogeneous databases, many problems may arise related to 1) the interoperability of geographical databases, 2) the integration of geospatial data / metadata of the same location service, provided differently by many operators and 3) the uncertain positioning results due to GPS/Radio coverage technologies, geo coding conversion functions and mobile devices’limitations. In this paper, the ‘uncertainty’ issues on geographic, place names and semantic details for homologous objects towards a complete map conflation were solved by our MPLoM framework (Location Integration) and our Visual Domain Ontology application (Cartographic Integration) with an extension of Web Ontology Language named CartOWL.

Towards an Efficient Integration, Structure and Exploration of Landscape Architecture Project Information

Landscape architecture projects have many specific requirements such as particular multimedia and geographic data integration and structure, information preview, user-friendly interface, and means of multi-actor participation. This article presents a solution for an efficient, quick and user-friendly integration, structure, exploration and management of landscape information. Our proposal extends different existing solutions and introduces useful preview abilities. A recently developed prototype implements the solution

Uncertainty visualization of multi-providers cartographic integration

Multiple cartographic providers propose services displaying points of interests (POI) on maps. However, the provided POIs are often incomplete and contradictory from one provider to another. Previous works proposed solutions for detecting correspondences between spatial entities that refer to the same geographic object. Although one can visualize the result of the integration of corresponding entities, users do not have any information about the quality of this integration. In this paper, we propose a solution to visualize the uncertainty inherent to a spatial integration algorithm. We present an integration process that identifies three levels of confidence for spatial and terminological integration results. Based on perceptual tests, we select visual variables to portray these three levels of confidence and we choose a visualization strategy. A prototype has been implemented to present the benefits of our proposal in a use-case scenario. This work has been realized within the framework of UNIMAP11UNIMAP: http://liris.cnrs.fr/unimap (July 2014). project. Our research consists in integrating Location-Based services from multi-providers.We focus on the visualization of uncertainty results of spatial integration.In this paper we discuss the technical issues to integrate geo-spatial data.We propose solutions to represent and visualize the uncertainty in a spatial context.Statistical tests have been used to evaluate our proposals.

An Introduction to Geographic Rules.

As business rules are very common in business information systems, it is fundamental to analyze geographic rules in order to include them into geographic knowledge systems. The goal of this paper is, starting from examples taken overall from urban and environmental planning, to examine geographic rule semantics, and in particular to model space by combining logic and computational geometry. They can come from laws, physical laws, socio-economic considerations, from best practices, or from data mining. By defining new concepts such as metarules, superseded rules and jurisdictions, a conceptual model is proposed

Visualizing Integration Uncertainty Enhances User's Choice in Multi-Providers Integrated Maps

This poster presents an experiment to assess how representation of uncertainty of cartographic integration of multi-providers services is used by end-users1.

Application of a system for landscape architecture data

Landscape architects collect and deal with a huge amount of documents. We propose a multimedia, visual and interactive system to structure and explore them, and we develop a prototype which has been used by the students of our Landscape Architecture University for real urbanplanning projects with several towns in France. This paper presents and analyzes the interesting feedback we have received about this use.