Sylvaine Nugier

Assessment and analysis of information quality: a multidimensional model and case studies

Information 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 Electricite 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.

Pattern-Based Keyword Search on RDF Data

An increasing number of RDF datasets are available on the Web. Querying RDF data requires the knowledge of a query language such as SPARQL; it also requires some information describing the content of these datasets. The goal of our work is to facilitate the interrogation of RDF datasets, and we present an approach for enabling users to search in RDF data using keywords. We propose the notion of pattern to include some external knowledge during the search process which increases the quality of the results.

PatEx: Pattern Oriented RDF Graphs Exploration

An increasing number of RDF datasets are available on the Web. In order to query these datasets, users must have information about their content as well as some knowledge of a query language such as SPARQL. Our goal is to facilitate the exploration of these datasets. We present in this paper PatEx, a system designed to explore RDF(S)/OWL data. PatEx provides two exploration strategies: theme-based exploration and keyword search, and users can interactively switch between the two. Moreover, the system allows the definition of patterns to formalize users’ requirements during the exploration process. We also present some evaluations performed on real datasets.