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The aim of this research is to design and implement a knowledge discovery system that facilitates, using a web 2.0 collaborativeapproach, the identification of new risks of geospatial data misuse based on a contributed knowledge repository fed by applicationdomain experts. [Context/Motivation] This research is motivated by the irregularity of risk analysis efforts and the poor semantic ofthe collected information about risks. In the context of risk analysis during geospatial database design, the knowledge about risks ofgeospatial data misuse is typically held by domain application experts. The collection and record of that knowledge are usuallyconsidered as optional activities. It is usually performed through face-to-face risk assessment meetings and reports. Such techniquesend up by restricting the scope of risk analysis to a set of obvious risks usually already identified. Besides, little consideration isdevoted to the storage of risk information in an appropriate format for automatic reasoning and new risk information discovery. As aconsequence, many foreseeable risky aspects inherent to the data remain overlooked leading to ill-defined specification and faultydecisions. [Principal ideas/results] In this paper, we present a contributed knowledge discovery system that aims at enriching thesemantic information about risks of geospatial data misuse in order to identify foreseeable risks. The proposed web-based systemrelies on a systematic and more active involvement of users in risk analysis. The approach consists of 1) providing an overview of therelated work in the domains of risk analysis within the context of geospatial database design, 2) presenting an ontology-basedknowledge discovery system that helps experts in risks identification based on an upper-level risk ontology and on a structuredrepresentation of the domain-specific knowledge and, 3) presenting the components of the proposed system architecture and how itmay be implemented and used in practice, and finally 4) we conclude by discussing the approach. [Contribution] A major outcomeis that the proposed platform can help discovering implicit domain knowledge, and facilitating the identification of foreseeable risksof geospatial data misuse in a way to preventively improve the resulting fitness-for-use

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

TOWARDS A COLLABORATIVE KNOWLEDGE DISCOVERY SYSTEM FOR ENRICHING SEMANTIC INFORMATION ABOUT RISKS OF GEOSPATIAL DATA