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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