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
Abstract. Throughout its life cycle, an ontology may change in order to adapt to domain changes or to new usages. This paper presents an ontology evolution activity [1] applied to an ontology dedicated to the annotation of experimental data in food [2], and a plug-in, DynarOnto, which assists ontology engineers for carrying out the ontology changes. Our evolution method is an a priori method which takes as input an ontology in a consistent state, implements the changes selected to be applied and manages all the consequences of those changes by producing an ontology in a consistent state.
International audienceThis paper describes an ontology evolution activity designed for a data integration system called ONDINE (Ontology based Data INtegration) which proposes a complete workflow to acquire, annotate and query experimental data extracted from scientic documents. The core element of the ONDINE system is an ontology which allows experimental data annotation and querying. In order to adapt to domain changes, new usages and new annotated data, the ontology may change. This paper presents our a priori ontology evolution activity, which takes as input an ontology in a consistent state, denes and applies some changes and manages all the consequences of those changes by producing an ontology in a consistent state. The implementation and evaluation of the evolution activity are presented. Our work is illustrated through an ONDINE system's use case, the annotation of experimental data in the domain of matter transfer
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