The NEUMA Project: towards Cooperative On-line Music Score Libraries

Περιέχει το πλήρες κείμενοThe NEUMA project (http://neuma.irpmf-cnrs.fr) aims at designing and evaluating an open cooperative system for musician communities, enabling new search and analysis tools for symbolic musical content sharing and dissemination. The project is organized around the French CNRS laboratory of the Bibliothèque Nationale de France which provides sample collections, user requirements and expert validation. The paper presents the project goals, its achitecture and current state of development. We illustrate our approach with an on-line publication of monodic collections centered on XVIIe century French liturgic chants

Using information of an Informal Network to Evaluate Business Process Robustness

We consider the evaluation of a business process quality, in particular the evaluation of its robustness. By robustness, we mean robustness w.r.t. the risk of loosing knowledge of persons implied in the business process. We define metrics taking tacit knowledge into account. These metrics are based on the analysis of a social network underlying the process execution. We illustrate these metrics on a -real- application case: the evaluation of an IS project management business process

Assessment and Analysis of Information Quality: a Multidimensional Model and Case Studies

International audienceInformation quality is a complex and multidimensional notion. In the context of information system engineering, it is also a transversal notion and to be fully understood, it needs to be evaluated jointly considering the quality of data, the quality of the underlying conceptual data model and the quality of the software system that manages these data. This paper presents a multidimensional model for exploring information in a multidimensional way, which aids in the navigation, filtering, and interpretation of quality measures, and thus in the identification of the most appropriate actions to improve information quality. Two application scenarios are presented to illustrate and validate the multidimensional approach: the first one concerns the quality of customer information at Electricité de France, a French Electricity Company, and the second concerns the quality of patient records at Curie Institute, a well-known medical institute in France. The instantiation of our multidimensional model in these contexts shows first illustrations of its applicability

QUADRIS : Qualité des données dans les systèmes d'informations multi-sources

Colloque Panorama des Recherches Incitatives en STIC (PaRISTIC

A framework for quality evaluation in data integration systems

International audienceEnsuring and maximizing the quality and integrity of information is a crucial process for today enterprise information systems (EIS). It requires a clear understanding of the interdependencies between the dimensions characterizing quality of data (QoD), quality of conceptual data model (QoM) of the database, keystone of the EIS, and quality of data management and integration processes (QoP). The improvement of one quality dimension (such as data accuracy or model expressiveness) may have negative consequences on other quality dimensions (e.g., freshness or completeness of data). In this paper we briefly present a framework, called QUADRIS, relevant for adopting a quality improvement strategy on one or many dimensions of QoD or QoM with considering the collateral effects on the other interdependent quality dimensions. We also present the scenarios of our ongoing validations on a CRM EIS