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Exploiting Visual Notations for Data Exploration: The EFESTO Platform

Published: 07 June 2016 Publication History

Abstract

The EFESTO platform allows the creation of interactive workspaces supporting end users in the exploration and seamless composition of heterogeneous data sources. By means of a visual paradigm implemented within a Web composition environment, the end users dynamically create "live" mashups where relevant information, extracted from different types of data sources including the Linked Open Data, and functions that can be performed on it can be flexibly shaped-up at runtime.

References

[1]
Ardito, C., Bottoni, P., Costabile, M. F., Desolda, G., Matera, M. and Picozzi, M. 2014. Creation and Use of Service-based Distributed Interactive Workspaces. Journal of Visual Languages & Computing 25, 6 (2014), 717--726.
[2]
Ardito, C., Costabile, M. F., Desolda, G., Lanzilotti, R., Matera, M., Piccinno, A. and Picozzi, M. 2014. User-Driven Visual Composition of Service-Based Interactive Spaces. Journal of Visual Languages & Computing, 25, 4 (2014), 278--296.
[3]
Ardito, C., Costabile, M. F., Desolda, G., Lanzilotti, R., Matera, M. and Picozzi, M. Visual Composition of Data Sources by End-Users. Como, Italy, May 28--30, 2104, 2014. ACM, New York, NY, USA.
[4]
Ardito, C., Costabile, M. F., Desolda, G., Latzina, M. and Matera, M. 2015. Making mashups actionable through elastic design principles. In: End-User Development - IS-EUD 2015, P. Díaz, V. Pipek, C. Ardito, C. Jensen, I. Aedo and A. Boden Eds. LNCS 9083. Springer, 236--241.
[5]
Daniel, F. and Matera, M. 2014. Mashups: Concepts, Models and Architectures. Springer.
[6]
Desolda, G. 2015. Enhancing Workspace Composition by Exploiting Linked Open Data as a Polymorphic Data Source. In: Intelligent Interactive Multimedia Systems and Services - IIMSS '15, E. Damiani, R. J. Howlett, L. C. Jain, L. Gallo and G. De Pietro Eds. 40. Springer International Publishing, 97--108.
[7]
White, R. W. and Roth, R. A. 2009. Exploratory search: Beyond the query-response paradigm. Synthesis Lectures on Information Concepts, Retrieval, and Services, 1, 1 (2009), 1--98.

Cited By

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  • (2020)Interacting with Linked Data: A Survey from the SIGCHI PerspectiveExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3382909(1-12)Online publication date: 25-Apr-2020

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Published In

cover image ACM Conferences
AVI '16: Proceedings of the International Working Conference on Advanced Visual Interfaces
June 2016
400 pages
ISBN:9781450341318
DOI:10.1145/2909132
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 June 2016

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Author Tags

  1. Data Integration
  2. Mashups
  3. Web Composition Environments

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  • Research
  • Refereed limited

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AVI '16

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AVI '16 Paper Acceptance Rate 20 of 96 submissions, 21%;
Overall Acceptance Rate 128 of 490 submissions, 26%

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Cited By

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  • (2020)Interacting with Linked Data: A Survey from the SIGCHI PerspectiveExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3382909(1-12)Online publication date: 25-Apr-2020

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