Data Display Translation Framework (DDTF)

Period of Performance: 05/02/2001 - 02/02/2002

$99.9K

Phase 1 SBIR

Recipient Firm

Knowledge Based Systems, Inc.
1408 University Drive East Array
College Station, TX 77840
Principal Investigator

Abstract

We propose to develop a neutral XML-based Data Display Markup Language (DDML) that will be generic enough to encompass various vendor-specific data display formats. We will also develop a Data Display Translation Framework (DDTF) for automatically generating translators between arbitrary vendor applications. Currently, display formats between various data display applications are manually transformed in order to conform to a similar look-and-feel. Given the complexity of data display specification, this process is arduous and prone to errors. Moreover, the development of a successful test environment becomes a function of the experience and domain knowledge of human programmers. This project focuses on an ontology-driven strategy based on XML that will generate translators between any data display format and our neutral format. By using this "no programming required" framework, the programming effort required to develop the O(n2) number of custom-built translators (where n is the number of data translators) would simply vanish. Moreover, by automating the process of developing translators, we will eliminate the inherent delay, cost and unreliability that are associated with manual transformations. Translators that are automatically generated are more reliable, maintainable, and scalable. Other benefits include reuse of the developed technology in various fields requiring rapid and robust data translation. DDML and DDTF have tremendous commercial potential throughout T&E communities in military, space, energy, and transportation industries.