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Stoffel, Kilian
Nom
Stoffel, Kilian
Affiliation principale
Fonction
Professeur ordinaire
Email
Kilian.STOFFEL@unine.ch
Identifiants
Résultat de la recherche
Voici les éléments 1 - 10 sur 39
- PublicationAccès libre
- PublicationMétadonnées seulementObject-oriented Software Modeling with Ontologies Around(2018-7-1)
; Despite the many integration tools proposed for mapping between OWL ontologies and the object-oriented paradigm, developers are still reluctant to incorporate ontologies into their code repositories. In this paper we survey existing approaches for OWL to OOP mapping trying to identify reasons for this shy adoption of ontologies among conventional software developers. We present a classification of the surveyed approaches and tools based on the characteristics of their resulting artifacts. We finally provide our own reflection for other potential reasons beyond those addressed in the literature. - PublicationMétadonnées seulement
- PublicationMétadonnées seulement
- PublicationMétadonnées seulementUsing association rules to guide evolutionary search in solving constraint satisfaction(2015-5-25)
; ;Croitoru, Cornelius - PublicationMétadonnées seulement
- PublicationAccès libreThe CriLiM Methodology: Crime Linkage with a Fuzzy MCDM Approach(: IEEE, 2013-8-12)
; ; ;Grossrieder, Lionel ;Ribaux, OlivierGrouping events having similarities has always been interesting for analysts. Actually, when a label is put on top of a set of events to denote they share common properties, the automation and the capability to conduct reasoning with this set drastically increase. This is particularly true when considering criminal events for crime analysts; conjunction, interpretation and explanation can be key success factors to apprehend criminals. In this paper, we present the CriLiM methodology for investigating both serious and high-volume crime. Our artifact consists in implementing a tailored computerized crime linkage system, based on a fuzzy MCDM approach in order to combine spatio-temporal, behavioral, and forensic information. As a proof of concept, series in burglaries are examined from real data and compared to expert results. - PublicationMétadonnées seulement
- PublicationAccès libreCrime Linkage: a Fuzzy MCDM Approach(: IEEE, 2013-6-4)
; ; ;Grossrieder, Lionel ;Ribaux, OlivierGrouping crimes having similarities has always been interesting for analysts. Actually, when a set of crimes share common properties, the capability to conduct reasoning and the automation with this set drastically increase. Conjunction, interpretation and explanation based on similarities can be key success factors to apprehend criminals. In this paper, we present a computerized method for high-volume crime linkage, based on a fuzzy MCDM approach in order to combine situational, behavioral, and forensic information. Experiments are conducted with series in burglaries from real data and compared to expert results. - PublicationAccès libreFrom Police Reports to Data Marts: a Step Towards a Crime Analysis FrameworkNowadays, crime analyses are often conducted with computational methods. These methods, using several different systems (such as decision support systems), need to handle forensic data in a specific way. In this paper we present a methodology to structure police report data for crime analysis. The proposed artifact is mainly about applying data warehousing concepts to forensic data in a crime analysis perspective. Moreover, a proof of concept is carried out with real forensic data to illustrate and evaluate our methodology. These experiments highlight the need of such framework for crime analysis.