ONTOLOGY-DRIVEN TRANSLATOR GENERATOR FOR DATA DISPLAY CONFIGURATIONS
Affiliation
Knowledge Based Systems, Inc.Edwards Air Force Base
Issue Date
2004-10Keywords
Data Display ConfigurationT&E Environment
Neutral Format
XML
XSLT
Automated Translator Generator
Metadata
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Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.Abstract
This paper presents a new approach for the effective generation of translator scripts that can be used to automate the translation of data display configurations from one vendor format to another. Our approach uses the IDEF5 ontology description method to capture the ontology of each vendor format and provides simple rules for performing mappings. In addition, the method includes the specification of mappings between a language-specific ontology and its corresponding syntax specification, that is, either an eXtensible Markup Language (XML) Schema or Document Type Description (DTD). Finally, we provide an algorithm for automatically generating eXtensible Stylesheet Language Transformation (XSLT) scripts that transform XML documents from one language to another. The method is implemented in a graphical tool called the Data Display Translator Generator (DDTG) that supports both inter-language (ontology-to-ontology) and intra-language (syntax-to-ontology) mappings and generates the XSLT scripts. The tool renders the XML Schema or DTD as trees, provides intuitive, user-friendly interfaces for performing the mappings, and provides a report of completed mappings. It also generates data type conversion code when both the source and target syntaxes are XML Schema-based. Our approach has the advantage of performing language mappings at an abstract, ontology level, and facilitates the mapping of tool ontologies to a common domain ontology (in our case, Data Display Markup Language or DDML), thereby eliminating the O(n^2) mapping problem that involves a number of data formats in the same domain.Sponsors
International Foundation for TelemeteringISSN
0884-51230074-9079