In this paper, we present the design of ONDINE system which allows the loading and the querying of a data warehouse opened on the Web, guided by an Ontological and Terminological Resource (OTR). The data warehouse, composed of data tables extracted from Web documents, has been built to supplement existing local data sources. First, we present the main steps of our semi-automatic method to annotate data tables driven by an OTR. The output of this method is an XML/RDF data warehouse composed of XML documents representing data tables with their fuzzy RDF annotations. We then present our flexible querying system which allows the local data sources and the data warehouse to be simultaneously and uniformly queried, using the OTR. This system relies on SPARQL and allows approximate answers to be retrieved by comparing preferences expressed as fuzzy sets with fuzzy RDF annotations.

Abstract. Several software systems have been developed recently for the automated generation of combustion reactions kinetic mechanisms using different representations of species and reactions and different generation algorithms. In parallel, several software systems based on rewriting have been developed for the easy modeling and prototyping of systems using rules controlled by strategies. This paper presents our current experience in using the rewrite system ELAN for the automated generation of the combustion reactions mechanisms previously implemented in the EXGAS kinetic mechanism generator system. We emphasize the benefits of using rewriting and rule-based programming controlled by strategies for the generation of kinetic mechanisms.

International audienceWe propose, in this paper, a model for an Ontological and Terminological Resource (OTR) dedicated to the task of n-ary relations annotation in Web data tables. This task relies on the identi cation of the symbolic concepts and the quantities, de ned in the OTR, which are represented in the tables' columns. We propose to guide the annotation by an OTR because it allows a separation between the terminological and conceptual components and allows dealing with abbreviations and synonyms which could denote the same concept in a multilingual context. The OTR is composed of a generic part to represent the structure of the ontology dedicated to the task of n-ary relations annotation in data tables for any application and of a speci c part to represent a particular domain of interest. We present the model of our OTR and its use in an existing method for semantic annotation and querying of Web tables