Paper Info
Title
Interacting with data warehouse by using a natural language interface
Abstract
Writing Online Analytical Processing (OLAP) queries for data warehouses is a complex and skill requiring task especially for the novel users. The situation becomes more critical when a low skilled person wants to access or analyze his business data from a data warehouse. These scenarios require more expertise and skills in terms of understanding and writing the accurate and functional queries. However, these complex tasks can be simplified by providing an easy interface to the users. In order to resolve all such issues, automated software tool is needed, which facilitates both users and software engineers. In this paper we present a novel approach with name QueGen (Query Generator) that generates OLAP queries based on the specification provided in natural English language. Users need to write the requirements in simple English in a few statements. After a semantic analysis and mapping of associated information, QueGen generates the intended OLAP queries that can be executed directly on data warehouses. An experimental study has been conducted to analyze the performance and accuracy of proposed tool.
Year
DOI
Venue
2012
10.1007/978-3-642-31178-9_50
NLDB
Keywords
DocType
Citations 
novel approach,natural language interface,automated software tool,data warehouse,novel user,complex task,intended olap query,name quegen,business data,proposed tool,natural english language
Conference
1
PageRank 
References 
Authors
0.38
7
3
Name
Order
Citations
PageRank
M. Asif Naeem110219.73
Saif Ullah221.74
Imran Sarwar Bajwa38722.31