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International audience; Along with the rising concern of environmental performance, eco-labeling is becoming more and more popular. However, the complex process of eco-labeling is demotivating manufacturers and service providers to be certificated. The knowledge contained in eco-labeling criteria documents is not semantically exploitable to computers. Traditional knowledge base in relational data model is not inter-operable, lacks inference support and is difficult to be reused. In our research, we propose a comprehensive knowledge base composed of interconnected OWL (Ontology Web Language) ontologies. This ontology based knowledge base allows reasoning and semantic query. In this paper, a modularization scheme about ontology development is introduced and it has been applied to EU Eco-label (European Union Eco-label) laundry detergent product criteria. This scheme separates entity knowledge and rule knowledge so that the ontology modules can be reused easily in other domains. Reasoning and inference based on SWRL (Semantic Web Rule Language) rules in favor of eco-labeling process is also presented.

International audience; Modern astrophysics heavily relies on Web services to expose most of the data coming from many different instruments and researches worldwide. The virtual observatory (VO) has been designed to allow scientists to locate, retrieve and analyze useful information among those heterogeneous data. The use of ontologies has been studied in the VO context for astrophysical concerns like object types or astrophysical services subjects. On the operative point of view, ontological description of astrophysical services for interoperability and querying still has to be considered. In this paper, we design a global ontology (Astrophysical Services ONtology, ASON) based on web Ontology Language for Services (OWLS) to enhance existing astrophysical services description. By expressing together VO specific and non-VO specific services design, it will improve the automation of services queries and allow automatic composition of heterogeneous astrophysical services.

This paper presents a methodology to design the services of smart actuators for machine tools. The smart actuators aim at replacing the traditional drives (spindles and feed-drives) and enable to add data processing abilities to implement monitoring and control tasks. Their data processing abilities are also exploited in order to create a new decision level at the machine level. The aim of this decision level is to react to disturbances that the monitoring tasks detect. The cooperation between the computational objects (the smart spindle, the smart feed-drives and the CNC unit) enables to carry out functions for accommodating or adapting to the disturbances. This leads to the extension of the notion of smart actuator with the notion of agent. In order to implement the services of the smart drives, a general design is presented describing the services as well as the behavior of the smart drive according to the object oriented approach. Requirements about the CNC unit are detailed. Eventually, an implementation of the smart drive services that involves a virtual lathe and a virtual turning operation is described. This description is part of the design methodology. Experimental results obtained thanks to the virtual machine are then presented.

In this paper FMS Planning and Control are regarded as Control problems.Control terminology is used and sometimes re-defined to analyse and design a Convivial FMS Planning and Control System. The objective is to have a unified methodology leading to a specific software. After defining the general concepts, the Analysis phase is concerned with the Modelling tools and techniques used to state the Hierarchical Planning System (called Predictive Control) and the Control System (divided into On-line Control and Dynamic Control). Then the Synthesis phase defines the method to specify and build the final software. This software is designed so that all decisions may be made through a dialogue between decision-maker and computer. We call it a Convivial Control.