Digging into Big Provenance (with SPADE)

Author:

Gehani Ashish1,Ahmad Raza2,Irshad Hassan1,Zhu Jianqiao3,Patel Jignesh4

Affiliation:

1. SRI

2. DePaul University

3. Google

4. University of Wisconson

Abstract

Several interfaces exist for querying provenance. Many are not flexible in allowing users to select a database type of their choice. Some provide query functionality in a data model that is different from the graph-oriented one that is natural for provenance. Others have intuitive constructs for finding results but have limited support for efficiently chaining responses, as needed for faceted search. This article presents a user interface for querying provenance that addresses these concerns and is agnostic to the underlying database being used.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference13 articles.

1. Gehani A. SPADE; http://spade.csl.sri.com. Gehani A. SPADE; http://spade.csl.sri.com.

2. Mendel

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