Paper Info
Title
ADAGE: a framework for supporting user-driven ad-hoc data analysis processes
Abstract
Data analysis is an important part of the scientific process carried out by domain experts in data-intensive science. Despite the availability of several software tools and systems, their use in combination with each other for conducting complex types of analyses is a very difficult task for non-IT experts. The main contribution of this paper is to introduce an open architectural framework based on service-oriented computing (SOC) principles called the Ad-hoc DAta Grid Environment (ADAGE) framework that can be used to guide the development of domain-specific problem-solving environments or systems to support data analysis activities. Through an application of the ADAGE framework and a prototype implementation that supports the analysis of financial news and market data, this paper demonstrates that systems developed based on the framework allow users to effectively express common analysis processes. This paper also outlines some limitations as well as avenues for future research.
Year
DOI
Venue
2012
10.1007/s00607-012-0193-0
Computing
Keywords
DocType
Volume
SOA applications,Data-intensive science,Business process modeling,User-driven composition,High-frequency data,Financial market data,Time series analysis,Event processing systems,Thomson Reuters,ADAGE,68M01
Journal
94
Issue
ISSN
Citations 
6
0010-485X
9
PageRank 
References 
Authors
1.03
17
3
Name
Order
Citations
PageRank
Fethi Rabhi142750.68
Lawrence Yao2121.83
Adnene Guabtni31188.61