Danielle Ziébelin

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This paper presents AROM, a new object-based knowledge representation system. AROM is original in two ways. Firstly, in addition to classes, knowledge representation in AROM uses associations for describing links between classes instances. Secondly, AROM integrates an algebraic modeling language (AML) for describing operational knowledge (equations,(More)
In this paper, we present a multi-agent framework for data mining in electromyography. This application, based on a web interface, provides a set of functionalities allowing to manipulate 1000 medical cases and more than 25,000 neurological tests stored in a medical database. The aim is to extract medical information using data mining algorithms and to(More)
AROM est un système de représentation de connaissances reposant, à l’image des diagrammes de classes d’UML, sur deux types d’entités de modélisation complémentaires : les classes et les associations. Il intègre un langage de modélisation algébrique (ou LMA) qui sert de support à différents mécanismes d’inférence. Ce langage permet l’écriture d’équations, de(More)
Genomic sequence analysis is a task using techniques coming from different fields in order to extract biologically relevant objects (genes, regulatory signals...) from rough DNA sequences. Analysis methods, coming from domains like statistics, sequence alignment or pattern matching, have been developed and regrouped into program libraries. These libraries(More)
In this paper, we present AROM a new object-based knowledge representation system, and related to it, WebAROM, an application allowing the consultation and the edition of AROM knowledge bases through the WWW. The AROM knowledge representation model is an object-based knowledge representation model which shows to be original in two ways. First, in addition(More)
Genome annotation can be viewed as an incremental, cooperative, data-driven, knowledge-based process that involves multiple methods to predict gene locations and structures. This process might have to be executed more than once and might be subjected to several revisions as the biological (new data) or methodological (new methods) knowledge evolves. In this(More)