Fuzzy queries over NoSQL graph databases: perspectives for extending the cypher language

Abstract : When querying databases, users often wish to express vague concepts, as for instance asking for the cheap hotels. This has been extensively studied in the case of relational databases. In this paper, we propose to study how such useful techniques can be adapted to NoSQL graph databases where the role of fuzziness is crucial. Such databases are indeed among the fastest-growing models for dealing with big data, especially when dealing with network data (e.g., social networks). We consider the Cypher declarative query language proposed for Neo4j which is the current leader on this market, and we present how to express fuzzy queries.
Type de document :
Communication dans un congrès
IPMU: Information Processing and Management of Uncertainty, Jul 2014, Montpellier, France. Springer International Publishing, 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part III, Communications in Computer and Information Science (444), pp.384-395, 2014, Information Processing and Management of Uncertainty in Knowledge-Based Systems. 〈10.1007/978-3-319-08852-5_40〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01381080
Contributeur : Anne Laurent <>
Soumis le : vendredi 14 octobre 2016 - 00:06:47
Dernière modification le : jeudi 24 mai 2018 - 15:59:21

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Arnaud Castelltort, Anne Laurent. Fuzzy queries over NoSQL graph databases: perspectives for extending the cypher language. IPMU: Information Processing and Management of Uncertainty, Jul 2014, Montpellier, France. Springer International Publishing, 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part III, Communications in Computer and Information Science (444), pp.384-395, 2014, Information Processing and Management of Uncertainty in Knowledge-Based Systems. 〈10.1007/978-3-319-08852-5_40〉. 〈lirmm-01381080〉

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