Abstract
Graph databases have aroused a large interest in the last years due to their large scope of potential applications (e.g., social networks, biomedical networks, data stemming from the web). However, much published data suffer from quality problems, and graph data are no exception. In this paper, we investigate the issue of dealing with quality information in graph databases, at querying time. A framework is provided that makes it possible to introduce fuzzy quality preferences into graph pattern queries. This question is answered first from a theoretical point of view and then with an application to the Neo4j database management system by the extension of the cypher query language, for which implementation issues are discussed.
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