The Big Data challenge has made the issue of“making sense” of data urgent and unavoidable. This paperintroduces exploratory computing (EC), a novel paradigmwhose aim is to support a comprehensive “exploratory”experience for the user. “Exploratory” because it supportssearch and discovery of information through various tasks(investigation, knowledge seeking, serendipitous discovery,comparison of information...) in a dynamic interaction,where meaningful feedbacks from the system play a cru-cial role, closely resembling a human-to-human dialogue.“Computing” because a complex interaction as the one out-lined above requires powerful computational strength for theuser to be able to fully profit from, and even enjoy, the interac-tion. EC is not associated with a predefined set of techniques:Rather, it is an approach that can be concretized in differentways. In the paper, two different implementations of the ECapproach are presented, both of which interpret the EC high-level requirements. It is the authors’ hope that others willfollow.

Exploratory computing: a comprehensive approach to data sensemaking

Di Blas, Nicoletta;Mazuran, Mirjana;Paolini, Paolo;Quintarelli, Elisa;Tanca, Letizia
2017

Abstract

The Big Data challenge has made the issue of“making sense” of data urgent and unavoidable. This paperintroduces exploratory computing (EC), a novel paradigmwhose aim is to support a comprehensive “exploratory”experience for the user. “Exploratory” because it supportssearch and discovery of information through various tasks(investigation, knowledge seeking, serendipitous discovery,comparison of information...) in a dynamic interaction,where meaningful feedbacks from the system play a cru-cial role, closely resembling a human-to-human dialogue.“Computing” because a complex interaction as the one out-lined above requires powerful computational strength for theuser to be able to fully profit from, and even enjoy, the interac-tion. EC is not associated with a predefined set of techniques:Rather, it is an approach that can be concretized in differentways. In the paper, two different implementations of the ECapproach are presented, both of which interpret the EC high-level requirements. It is the authors’ hope that others willfollow.
Big Data·Rich Data·Exploratory computing·Faceted search·Data mining·Data exploration·Intensionalquery answering
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1062218
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