Institut für Raumbezogene Informations- und Messtechnik
Hochschule Mainz - University of Applied Sciences

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Prudhomme, Claire

Projekte

2015

The SemGIS project aims at interpreting heterogeneous data by creating interoperability via a semantic layer between former unrelated spatial and non-spatial data sets. Applications of this semantic layer are to be found in disaster management,…
The presented project is an internship project by two french master’s degree students. It has been realized in partnership with the German railway company, Deutsche Bahn. The project aim is to automatically detect and identify the various types of…

Nachrichten

2017

Auf dem 16. Mainzer Wissenschaftsmarkt am 9. und 10. September 2017, zu dem die Mainzer Wissenschaftsallianz unter dem Motto Mensc…

Bei der Konferenz WEBIST 2017, der 13th International Conference on Web Information Systems and Technologies, die vom 25.-27. Apri…

Publikationen

2018

Semantische Geoinformationssysteme: Integration heterogener Geodaten am Beispiel XErleben

2018

Timo Homburg, Claire Prudhomme, Frank BOOCHS

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<p>This poster has been presented during the conference Der Fachaustausch Geoinformation (http://www.fachaustausch-geoinformation.de/) organized by GeoNet.MRN to exhibit the semantic geographic information system developed in the context of SemGIS project. The poster shows the approaches used to integrate heterogeneous data sets from different sources. These data sets can then, be enriched through resources from the Semantic Web. An example of such enrichment is presented from an integrated XErleben data. Finally, it illustrates the functionalities of the system to query and visualize data, but also the downlift of selected data according to different standardized formats.</p>

2017

Integration, quality assurance and usage of geospatial data with semantic tools

2017

Timo Homburg, Claire Prudhomme, F Boochs, Ana Roxin, Christophe Cruz

gis.Science









A Framework to Improve the Disaster Response Through a Knowledge-Based Multi-Agent System

2017

Prudhomme, Claire, Cruz, Christophe, Roxin, Ana, Boochs, Frank

International Journal of Information Systems for Crisis Response and Management (IJISCRAM)
<p><span id="ctl00_cphFeatured_lblAbstract">The disaster response still faces problems of collaboration due to lack of policies concerning the information exchange during the response. Moreover, plans are prepared to respond to a disaster, but drills to apply them are limited and do not allow to determine their efficiency and conflicts with other organizations. This paper presents a framework allowing for different organizations involving in the disaster response to assess their collaboration through its simulation using an explicit representation of their knowledge. This framework is based on a multi-agent system composed of three generic agent models to represent the organizational structure of disaster response. The decision-making about response actions is done through task decomposition and repartition. It is based reasoning on ontologies which provides an explicit trace of the response plans design and their execution. Such framework aims at identifying cooperation problems and testing strategies of information exchange to support the preparation of disaster response.</span></p>

Automatic Integration of Spatial Data into the Semantic Web

2017

Claire Prudhomme, Timo Homburg, Jean-Jacques Ponciano, F Boochs, Roxin, Ana, Cruz, Christophe

WebIST 2017
<p><span class="foldable-text" data-reactid="122" id="yui_3_14_1_1_1505396336545_1222">For several years, many researchers tried to semantically integrate geospatial datasets into the semantic web. Although, there are many general means of integrating interconnected relational datasets (e.g. R2RML), importing schema-less relational geospatial data remains a major challenge in the semantic web community. In our project SemGIS we face significant importation challenges of schema-less geodatasets, in various data formats without relations to the semantic web. We therefore developed an automatic process of semantification for aforementioned data using among others the geometry of spatial objects. We combine Natural Language processing with geographic and semantic tools in order to extract semantic information of spatial data into a local ontology linked to existing semantic web resources. For our experiments, we used LinkedGeoData and Geonames ontologies to link semantic spatial information and compared links with DBpedia and Wikidata for other types of information. The aim of our experiments presented in this paper, is to examine the feasibility and limits of an automated integration of spatial data into a semantic knowledge base and to assess its correctness according to different open datasets. Other ways to link these open datasets have been applied and we used the different results for evaluating our automatic approach.</span></p>

Katastrophenmanagement: Die geflutete Stadt

2017

Claire Prudhomme

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Towards the design of respond action in disaster management using knowledge modeling

2017

Claire Prudhomme, Roxin, Ana, Cruz, Christophe, F Boochs

The Fourth International Conference on Information Systems for Crisis Response and Management in Mediterranean Countries (ISCRAM-med 2017)
<p>This position paper highlights current problems linked to the aspects of the multi-agency collaboration during disaster response. The coordination and cooperation depend on the information sharing and use which must face up to interoperability, access rights, and quality problems. The research project aims at providing an assessment of information impact on the disaster response in order to support the decisionmaking about what information shared or what quality of data used to improve the response efficiency. Our research approach propose to combine an information system able to integrate heterogeneous data and a simulation system to assess different strategies of information sharing, dissemination and use. A knowledge base is used as a bridge between information system and simulation system. This knowledge base allows for designing dynamically a simulation according to open data and for managing the own knowledge and information known by each agent.</p>

2016

Interpreting Heterogenous Geospatial Data using Semantic Web Technologies

2016

Timo Homburg, Claire Prudhomme, Falk WĂĽrriehausen, A Karmacharya, F Boochs, Christophe Cruz, Ana-Maria Roxin

Computational Science and Its Applications -- ICCSA 2016
<p>The paper presents work on implementation of semantic technologies within a geospatial environment to provide a common base for further semantic interpretation. The work adds on the current works in similar areas where priorities are more on spatial data integration. We assert that having a common unified semantic view on heterogeneous datasets provides a dimension that allows us to extend beyond conventional concepts of searchability, reusability, composability and interoperability of digital geospatial data. It provides contextual understanding on geodata that will enhance effective interpretations through possible reasoning capabilities. &nbsp;We highlight this through use cases in disaster management and planned land use that are significantly different. This paper illustrates the work that firstly follows existing Semantic Web standards when dealing with vector geodata and secondly extends current standards when dealing with raster geodata and more advanced geospatial operations.</p>

SEMANTIC CATALOGUE TO MANAGE DATA SOURCES IN DISASTER MANAGEMENT SYSTEM

2016

Claire Prudhomme, Roxin, Ana, Cruz, Christophe, F Boochs

The 15th International Conference on Informatics in Economy 2016
<p><span class="foldable-text" data-reactid="118" id="yui_3_14_1_1_1505396728757_1230">With the climate change, disasters occur more frequently and the need for efficient disaster management systems becomes highly recommended to save lives. This paper deals with a study of existing systems, with the intention of determining the main recent improvement in the domain. The heterogeneous data integration process is a major central point. Thus, a semantic system with three main components is proposed as a new position in the disaster management systems. These three components are a knowledge base, a reasoner and a semantic catalogue. The knowledge base provides a controlled vocabulary and allows storing information retrieval. The semantic catalogue facilitates the access to data sources adapted to user&#39;s and agent&#39;s needs. The reasoner analyzes the information in the knowledge base thus replying to the user queries. In addition, the reasoner aims at adding automatically new data sources in the semantic catalogue. The fast access to a great number of data sources is of benefit for decision-making systems such as disaster management systems.</span></p>

Detection and classification of railway switches in point clouds of the German railway system

2016

Jean-Jacques Ponciano, Claire Prudhomme, F Boochs

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Vorstellung SemGIS Projekt - Einblick und Status

2016

Timo Homburg, Claire Prudhomme

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