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Potluck: Data Mash-Up Tool for Casual Users

9 Pages Posted: 10 Jul 2018 First Look: Accepted

See all articles by David Huynha

David Huynha

Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)

Robert Miller

MIT CSAIL

David Karger

Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)

Abstract

As more and more reusable structured data appears on the Web, casual users will want to take into their own hands the task of mashing up data rather than wait for mash-up sites to be built that address exactly their individually unique needs. In this paper, we present Potluck, a Web user interface that let’s casual users — those without programming skills and data modeling expertise — mash up data themselves. Potluck is novel in its use of drag and drop for merging fields, its integration and extension of the faceted browsing paradigm for focusing on subsets of data to align, and its application of simultaneous editing for cleaning up data syntactically. Potluck also lets the user construct rich visualizations of data in-place as the user aligns and cleans up the data. This iterative process of integrating the data while constructing useful visualizations is desirable when the user is unfamiliar with the data at the beginning — a common case — and wishes to get immediate value out of the data without having to spend the overhead of completely and perfectly integrating the data first. A user study on Potluck indicated that it was usable and learnable, and elicited excitement from programmers who, even with their programming skills, previously had great difficulties performing data integration.

Keywords: Mash Up, Drag and Drop, Faceted Browsing, Simultaneous Editing, Ontology Alignment, End-User Programming, Semantic Web, RDF

Suggested Citation

Huynha, David and Miller, Robert and Karger, David, Potluck: Data Mash-Up Tool for Casual Users (2008). Journal of Web Semantics First Look 6_4_6, Available at SSRN: https://ssrn.com/abstract=3199408 or http://dx.doi.org/10.2139/ssrn.3199408

David Huynha (Contact Author)

Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL) ( email )

Stata Center
Cambridge, MA 02142
United States

Robert Miller

MIT CSAIL ( email )

32 Vassar St
Cambridge, MA 02139

HOME PAGE: http://www.mit.edu/~rcm

David Karger

Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL) ( email )

Stata Center
Cambridge, MA 02142
United States

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