7,574 research outputs found
SODA: Generating SQL for Business Users
The purpose of data warehouses is to enable business analysts to make better
decisions. Over the years the technology has matured and data warehouses have
become extremely successful. As a consequence, more and more data has been
added to the data warehouses and their schemas have become increasingly
complex. These systems still work great in order to generate pre-canned
reports. However, with their current complexity, they tend to be a poor match
for non tech-savvy business analysts who need answers to ad-hoc queries that
were not anticipated. This paper describes the design, implementation, and
experience of the SODA system (Search over DAta Warehouse). SODA bridges the
gap between the business needs of analysts and the technical complexity of
current data warehouses. SODA enables a Google-like search experience for data
warehouses by taking keyword queries of business users and automatically
generating executable SQL. The key idea is to use a graph pattern matching
algorithm that uses the metadata model of the data warehouse. Our results with
real data from a global player in the financial services industry show that
SODA produces queries with high precision and recall, and makes it much easier
for business users to interactively explore highly-complex data warehouses.Comment: VLDB201
CoMMA Corporate Memory Management through Agents Corporate Memory Management through Agents: The CoMMA project final report
This document is the final report of the CoMMA project. It gives an overview of the different search activities that have been achieved through the project. First, a description of the general requirements is proposed through the definition of two scenarios. Then it shows the different technical aspects of the projects and the solution that has been proposed and implemented
Dutch parallel corpus: a balanced parallel corpus for Dutch-English and Dutch-French
status: publishe
Role of Semantic web in the changing context of Enterprise Collaboration
In order to compete with the global giants, enterprises are concentrating on
their core competencies and collaborating with organizations that compliment their
skills and core activities. The current trend is to develop temporary alliances of
independent enterprises, in which companies can come together to share skills, core
competencies and resources. However, knowledge sharing and communication
among multidiscipline companies is a complex and challenging problem. In a
collaborative environment, the meaning of knowledge is drastically affected by the
context in which it is viewed and interpreted; thus necessitating the treatment of
structure as well as semantics of the data stored in enterprise repositories. Keeping
the present market and technological scenario in mind, this research aims to propose
tools and techniques that can enable companies to assimilate distributed information
resources and achieve their business goals
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