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Stoffel, Kilian

Nom
Stoffel, Kilian
Affiliation principale
Fonction
Professeur ordinaire
Email
Kilian.STOFFEL@unine.ch
Identifiants
https://libra.unine.ch/handle/123456789/593

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  • Publication
    Métadonnées seulement
    Object-Oriented Modeling with Ontologies Around: A Survey of Existing Approaches
    (2018-12-23)
    Baset, Selena 
    ;
    Stoffel, Kilian 
    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 their technical characteristics and their resulting artifacts. We discuss further potential reasons beyond what have been addressed in the literature before finally providing our own reflection and outlook.
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    Métadonnées seulement
    OntoJIT: Exploiting CLR Compiler Support for Performing Entailment Reasoning over Executable Ontologies
    (2018-3-13)
    Baset, Selena 
    ;
    Stoffel, Kilian 
    Most recent efforts on bringing ontologies into mainstream programming languages were hindered by some fundamental issues; mainly the lack of expressiveness of programming languages compared to the declarative nature of ontological languages as well as the different assumptions on which reasoning in these languages is based on. In this paper we give the idea of adopting ontological programming approaches a second thought by proposing a prototype for a C# ontological knowledgebase system where ontologies are expressed directly in an executable form. We present our experience on bridging the semantic gab in general purpose programming languages and on exploiting metaprogramming and the dynamic compilation feature of modern compilers for performing certain entailment queries without the need for the bulky ontology classification step usually required in the case of conventional ontological tools.
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    Métadonnées seulement
    Change points detection in crime-related time series: An on-line fuzzy approach based on a shape space representation
    (2015-12-17)
    Albertetti, Fabrizio 
    ;
    Grossrieder, Lionel
    ;
    Ribaux, Olivier
    ;
    Stoffel, Kilian 
    The extension of traditional data mining methods to time series has been effectively applied to a wide range of domains such as finance, econometrics, biology, security, and medicine. Many existing mining methods deal with the task of change points detection, but very few provide a flexible approach. Querying specific change points with linguistic variables is particularly useful in crime analysis, where intuitive, understandable, and appropriate detection of changes can significantly improve the allocation of resources for timely and concise operations. In this paper, we propose an on-line method for detecting and querying change points in crime-related time series with the use of a meaningful representation and a fuzzy inference system. Change points detection is based on a shape space representation, and linguistic terms describing geometric properties of the change points are used to express queries, offering the advantage of intuitiveness and flexibility. An empirical evaluation is first conducted on a crime data set to confirm the validity of the proposed method and then on a financial data set to test its general applicability. A comparison to a similar change-point detection algorithm and a sensitivity analysis are also conducted. Results show that the method is able to accurately detect change points at very low computational costs. More broadly, the detection of specific change points within time series of virtually any domain is made more intuitive and more understandable, even for experts not related to data mining.
  • Publication
    Accès libre
    Des données aux connaissances, un chemin difficile : réflexion sur la place du data mining en analyse criminelle
    (2013-4-1)
    Grossrieder, Lionel
    ;
    Albertetti, Fabrizio 
    ;
    Stoffel, Kilian 
    ;
    Ribaux, Olivier
    Le "data mining", ou "fouille de données", est un ensemble de méthodes et de techniques attractif qui a connu une popularité fulgurante ces dernières années, spécialement dans le domaine du marketing. Le développement récent de l’analyse ou du renseignement criminel soulève des problématiques auxquelles il est tentant d’appliquer ces méthodes et techniques. Le potentiel et la place du data mining dans le contexte de l’analyse criminelle doivent être mieux définis afin de piloter son application. Cette réflexion est menée dans le cadre du renseignement produit par des systèmes de détection et de suivi systématique de la criminalité répétitive, appelés processus de veille opérationnelle. Leur fonctionnement nécessite l’existence de patterns inscrits dans les données, et justifiés par les approches situationnelles en criminologie. Muni de ce bagage théorique, l’enjeu principal revient à explorer les possibilités de détecter ces patterns au travers des méthodes et techniques de data mining. Afin de répondre à cet objectif, une recherche est actuellement menée en Suisse à travers une approche interdisciplinaire combinant des connaissances forensiques, criminologiques, et computationnelles
  • Publication
    Accès libre
    Watch-dictaphone for Automatic Medical Codification
    (2008)
    Grassi, Sara
    ;
    Heck, P.
    ;
    Stadelmann, Patrick
    ;
    Cotofrei, Paul 
    ;
    Dinissen, P.
    ;
    Meylan, F.
    ;
    Mignot, J.-P.
    ;
    Pfeuti, J.-N.
    ;
    Piccini, F.
    ;
    Geiser, P.
    ;
    Biundo, Giuseppina
    ;
    Farine, Pierre-André
    ;
    Grupp, Joachim
    ;
    Stoffel, Kilian 
    This paper describes the development of a voice data recording watch and the accompanying software and hardware needed to build an integrated solution for medical data capture and auto-matic codification. The developed system is used to capture on the stand-alone watch, either by voice recording or by form-filling, the relevant information on the healthcare service being provided. The captured information is stored locally and then downloaded to a PC, via a USB connection. In the PC, speech is translated first into text and then into medical codification, with minimum user-intervention. The resulting information is stored into local or cen-tralized patient databases, to be sent later to 3rd-party SW for billing, reporting and statistics. The user controls the watch either via a touch-screen based interface or via a voice-driven interface for hands-free operation. Although this work is multidisciplinary, in this paper the emphasis is put on the description of the DSP implementation.
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    Métadonnées seulement
    Going beyond stemming: creating concept signatures of complex medical terms
    (2002)
    Kurz, Thorsten
    ;
    Stoffel, Kilian 
    We present a stemming algorithm that does not only remove the endings of words, but also cuts the remaining steins into radicals and suffixes. The output of this algorithm is used to create more precise concept signatures for indexing and classifying documents. The algorithm has been successfully tested with radical and suffix lists for medical terms. (C) 2002 Elsevier Science B,V. All rights reserved.
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    Métadonnées seulement
  • Publication
    Métadonnées seulement
    Semantic indexing for complex patient grouping
    (1997)
    Stoffel, Kilian 
    ;
    Saltz, Joel
    ;
    Hendler, James
    ;
    Dick, James
    ;
    Merz, William
    ;
    Miller, Robert