Modeling system for retrieving and displaying data from multiple sources

Abstract

A model development system provides tools for developers to define reusable, object oriented components and views for collecting and displaying data from multiple sources, and for incorporating such reusable components and views into an informational model. Using the system, a developer can create a reusable component, create multiple instances of that component, and connect each such instance to one or more corresponding back-end data sources. The developer can also define one or more associated views that specify how data collected by the component from the back-end data sources is to be displayed. Many different components and views may be defined and deployed to build an informational model of a business entity, such as a business that operates processing or manufacturing plants in various locations.

Description

RELATED APPLICATIONS [0001] This application is a continuation of U.S. patent application Ser. No. 10 / 726,430, filed Dec. 3, 2003, which is a continuation of Ser. No. 09 / 704,471, filed Nov. 1, 2000, claims the priority date of U.S. provisional patent application No. 60 / 162,975, filed Nov. 1, 1999, which is hereby incorporated by reference.BACKGROUND OF THE INVENTION [0002] 1. Field of the Invention [0003] The present invention relates to collecting, modeling, and providing access to information. [0004] 2. Description of the Related Art [0005] A number of attempts have been made to retrieve data from a business organization's various data sources (called back-end data sources) and to present that data to users. An organization's various back-end data sources may contain different types and formats of data, including relational data, point data, time-series data, and object data. Relational data comprise data from multiple tables of multiple fields. The tables may be related to each o...

AI Technical Summary

Problems solved by technology

However, those analyses are usually only available to a few analysts and executives in an organization.

In addition, a data warehouse usually stores historical data for long term analysis, but is not suitable for real time or near real time applications.

ms. These packages have very limited abilities to retrieve and present relational data typically associated with other manufacturing systems and non-manufacturing systems such as enterprise resource planning (ERP) syste

ms. Typically, the major limitations include an inability to monitor relational data as it changes over time, navigate the relational data for more detailed monitoring or status, and to find supporting deta

ils. Because they do not provide access to both point data and relational data, enterprises often have to use multiple systems to provide data visualization, navigation and analysis of various types and formats of

data. Using multiple systems often results in high financial and computing expenses and programming and administrative compl

In addition, those systems cannot utilize the advantages of object data.

Since the back-end data are converted into point data, those systems cannot utilize the advantages of object data and also lose any benefits associated with relational data.

Other systems convert back-end data into object data, but fail to provide access to the object data using a class-based representation model.

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