Abstract
This paper illustrates EFESTO, a mashup platform designed to enable end users to explore information by creating interactive workspaces. Within a Web composition environment, end users dynamically create “live mashups” where relevant information, extracted from heterogeneous data sources - including the Linked Open Data – is integrated according to visually defined queries. Visualizations of the resulting data sets can be flexibly shaped-up at runtime. Functions, exposed by local or remote services, also allow users to manipulate the resulting data depending on their situational needs. With respect to other mashup platforms, EFESTO privileges visual composition paradigms that accommodate the end-user mental model for a lightweight data integration within Web workspaces.
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Notes
- 1.
The video that faithfully reports the live demo is available at https://youtu.be/bBG5O266y4g.
- 2.
When a service is registered in the platform, each attribute is automatically annotated with a DBpedia class that is semantically close to the attribute meaning [9]; for example the SongKick Artist attribute is annotated with the DBpedia Musical Artist class.
- 3.
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Acknowledgment
This work is partially supported by the Italian Ministry of University and Research (MIUR) under grants PON02_00563_3470993 “VINCENTE”, PON04a2_B “EDOC@WORK3.0”, and PON03PE_00136_1 “DSE” and by the Italian Ministry of Economic Development (MISE) under grant PON Industria 2015 MI01_00294 “LOGIN”. We are also immensely grateful to Prof. Maria Francesca Costabile for her valuable and constant support.
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Desolda, G., Ardito, C., Matera, M. (2016). EFESTO: A Platform for the End-User Development of Interactive Workspaces for Data Exploration. In: Daniel, F., Pautasso, C. (eds) Rapid Mashup Development Tools. RMC 2015. Communications in Computer and Information Science, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-28727-0_5
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