An Interface for User-Centred Process and Correlation Between Large Datasets (original) (raw)

Building data integration queries by demonstration

2007

Abstract The magnitude of data available on the web prompts the need for an easy to use query interface that enables users to integrate data from multiple web sources in an intelligent fashion. Past work in the area of databases has resulted in different query interface systems that simplify query formulation. While these approaches reduce the user's effort to compose queries, the user is still required to pick data sources to use and the interaction is not guaranteed to yield a non-empty result set.

Graphical interaction with heterogeneous databases

1997

Abstract. During the past few years our research efforts have been inspired by two different needs. On one hand, the number of non-expert users accessing databases is growing apace. On the other, information systems will no longer be characterized by a single centralized architecture, but rather by several heterogeneous component systems. In order to address such needs we have designed a new query system with both user-oriented and multidatabase features.

A Unique Integration Tool for Heterogeneous Databases

Users extract knowledge from the database by posing Quires. Most of the users submit SQL Query to extract information from the database. This makes a restriction on users to be familiar with SQL tool. Our proposal is to integrate the existing different database schemas into a single common format. It is widely recognized that integration of database and information retrieval is gaining more importance recently. To enable convenient access to the data organized in different database schemas, we have proposed a new Heterogeneous Data Base Connectivity (HDBC) architecture with graphical user interaction that can be used even by a novice person to create, manipulate and extract information in any database schema. The proposed algorithm also gives provision to export table from one database to another and supports excellent searching capabilities. User friendly interaction is ensured and hence this work enables the end user to retrieve information in an efficient manner from the database organized in different schema and can easily integrate and share the processed information across different applications.

Architecture of a Blended-Query and Result-Visualization Mechanism for Web-Accessible Databases and Associated Implementation Issues

Lecture Notes in Computer Science, 2002

The explosion of information on the web and the increased trend towards seeking information from the web has given rise to a need for a mechanism that would allow querying from a group of sites simultaneously. Visualization of all the retrieved data tiled appropriately on a single screen goes a long way in assisting the user in assimilating the retrieved information. A new mechanism for "blended querying" is suggested here, which comprises a twofold mechanism of prioritized multi-database querying which retrieves a series of combinations in the prioritized order from different web sites and summary querying which allows further querying on the previously retrieved result. The associated visualization tool simultaneously screens the various results retrieved into multiple windows, which are tiled on the screen so that all are visible at once. The implementation details are also described in this paper.

A multiparadigmatic environment for interacting with databases

1996

Abstract We present a prototype system to be used for visually accessing heterogeneous databases. The basic idea is to provide the user with several visual representations of data as well as multiple interaction mechanisms for both querying databases and visualizing the query results. Since some visual representations better fit certain user classes, the system adapts to the user's needs by switching to the most appropriate visual representation and interaction mechanism, according to a suitable user model.

Designing and testing the usability of a relational data base system with end-user oriented benchmark tasks

The results of a survey among a group of users of a Data-Base-Management-System (DBMS) that runs on personal computers and the results of several experimental studies indicate that specific support is necessary for this group of users in the form of the interface concept of active joins. An active join, presented in a list on the interface, enables end-users to manipulate data records by direct manipulation. The definition of an active join, the generation of active joins by direct manipulation, and the usage of active joins are introduced herein. An experimental comparison between the desktop interface with and without active joins demonstrates the superiority of the concept of active joins.

179. Query Resolution in Independent Databases by Partial Integration

International Congress on Data Mining and Information Systems, ICDIS 2007, 2007

There is an abundance of information spread across the world, usually stored in databases or published as web pages. These data is not structured in a common way, because the sources were built to fill different purposes or they were made by different persons. Presently, if a user wants to exploit data coming simultaneously from diverse data sources and obtain useful results, he must combine all disperse pieces of relevant data and check the correspondence between them, regularly by hand. In this research we propose the development of a database integration system (DaBIS) with the following features: 1) it allows many connections with remote and heterogeneous databases to extract their constitutive schemas; 2) it makes inferences about the data of each database, using matching algorithms to produce useful correspondences; and 3) it solves a user’s global queries by means of a graphical interface, when the query involves diverse information sources. Our main idea is to combine in a semiautomatic way partial results obtained from distinct databases, and get relevant results, while, at the same time, simplify the formulation of difficult queries. """