SUGAR: A Graph Database Fuzzy Querying System

Abstract : Graph databases have aroused a large interest in the last years thanks to their large scope of potential applications (e.g. social networks, biomedical networks, data stemming from the web). In a similar way as what has already been proposed in relational databases, defining a language allowing a flexible querying of graph databases may greatly improve usability of data. In this paper, we present a system called SUGAR developed for querying graph databases in a flexible way. Here, the preferences are based on fuzzy set theory and may concern i) the content of the vertices and ii) the structure of the graph.
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Olivier Pivert, Olfa Slama, Grégory Smits, Virginie Thion. SUGAR: A Graph Database Fuzzy Querying System. IEEE International Conference on Research Challenges in Information Science (RCIS’16) Demos, Jun 2016, Grenoble, France. ⟨10.1109/RCIS.2016.7549366⟩. ⟨hal-01297185⟩

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