Managing the complexity of highly specialized products in industrial environments requires today the ability of handling the different data streams produced in all phases of the product lifecycle. Data stream management systems and stream query languages represent a viable solution for processing and accessing large data streams to support analytical tasks as a basis for improving human collaboration and decision-making. However, the complexity of existing textual stream query languages often prevents unskilled users from effectively exploiting the available tools. In this paper we present a visual query system that allows users to graphically build queries over data streams and traditional relational data. It builds on top of the SCSQ federated data stream management system providing configurable tools for the graphical visualization of query results. The system is being validated in real industrial scenarios, by using the presented tools to analyze data streams produced by industrial machines.
Visually querying and accessing data streams in industrial engineering applications / Leva, M.; Mecella, M.; Russo, A.; Catarci, T.; Bergamaschi, S.; Malagoli, A.; Melander, L.; Risch, T.; Xu, C.. - (2013), pp. 373-384. (Intervento presentato al convegno 21st Italian Symposium on Advanced Database Systems, SEBD 2013 tenutosi a Roccella Jonica, Reggio Calabria, ita nel 2013).
Visually querying and accessing data streams in industrial engineering applications
Mecella M.;Bergamaschi S.;
2013
Abstract
Managing the complexity of highly specialized products in industrial environments requires today the ability of handling the different data streams produced in all phases of the product lifecycle. Data stream management systems and stream query languages represent a viable solution for processing and accessing large data streams to support analytical tasks as a basis for improving human collaboration and decision-making. However, the complexity of existing textual stream query languages often prevents unskilled users from effectively exploiting the available tools. In this paper we present a visual query system that allows users to graphically build queries over data streams and traditional relational data. It builds on top of the SCSQ federated data stream management system providing configurable tools for the graphical visualization of query results. The system is being validated in real industrial scenarios, by using the presented tools to analyze data streams produced by industrial machines.Pubblicazioni consigliate
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