Abstract

Abstract—This paper proposes N O X PERANTO , a novelcrowdsourcing approach to address querying over datacollections managed by polyglot persistence settings. The maincontribution of N O X PERANTO is the ability to solve complexqueries involving different data stores by exploiting queriesfrom expert users (i.e. a crowd of database administrators, dataengineers, domain experts, etc.), assuming that these users cansubmit meaningful queries. N O X PERANTO exploits the resultsof “meaningful queries” in order to facilitate the forthcomingquery answering processes. In particular, queries results areused to: (i) help non-expert users in using the multi-databaseenvironment and (ii) improve performances of the multi-databaseenvironment, which not only uses disk and memory resources,but heavily rely on network bandwidth. N O X PERANTO employsa layer to keep track of the information produced by the crowdmodeled as a Property Graph and managed in a Graph DatabaseManagement System (GDBMS).Index Terms—Polyglot persistence, crowdsourcing, multi-databases, big data, property graph, graph databases.

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