Demonstrating semantic interoperability of diagnostic models via AI-ESTATE

Author

Sheppard, John W. ; Butcher, Stephyn G W ; Donnelly, Patrick J. ; Mitchell, Benjamin R.

Author_Institution

Dept. of Comput. Sci., Johns Hopkins Univ., Baltimore, MD

fYear

2009

fDate

7-14 March 2009

Firstpage

1

Lastpage

13

Abstract

The Institute for Electrical and Electronics Engineers (IEEE), through its Standards Coordinating Committee 20 (SCC20), is developing interface standards focusing on Automatic Test System-related elements in cooperation with a Department of Defense (DoD) initiative to define, demonstrate, and mandate such standards. One of these standards - IEEE Std 1232-2002 Artificial Intelligence Exchange and Service Tie to All Test Environments (AI-ESTATE) - has been chosen for demonstration prior to mandate. In this paper, we discuss the results of the first phase of the AI-ESTATE demonstration, focusing on semantic interoperability of diagnostic models. The results of this demonstration successfully showed the effectiveness of semantic modeling in information exchange. In addition, the engineering burden was demonstrated to be manageable: all applications were constructed in less than four months by three graduate students working part time.

Keywords

IEEE standards; artificial intelligence; automatic testing; open systems; AI-ESTATE; Artificial Intelligence Exchange and Service Tie to All Test Environments; IEEE Std 1232-2002; automatic test system-related elements; diagnostic models; interface standards; semantic interoperability; Artificial intelligence; Automatic testing; Computer science; Content management; Electronic equipment testing; Instruments; Standards Coordinating Committees; Standards development; Standards publication; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace conference, 2009 IEEE

Conference_Location

Big Sky, MT

Print_ISBN

978-1-4244-2621-8

Electronic_ISBN

978-1-4244-2622-5

Type

conf

DOI

10.1109/AERO.2009.4839685

Filename

4839685