| This thesis addresses a general approach to transform meteorology data into XML (Extensible Markup Language) format. The approach presents a rapid and an efficient way to convert the unstructured data into XML format. The proposed method will use the JavaCC (Java Compiler Compiler) to transform meteorological data into XML. The proposed algorithm highlights the preservation of the structural constraints and generalizes the generation of XML data. Current meteorological data conversion methods are analyzed in the paper. Three popular kinds of aviation weather data: METAR (an hourly meteorological aviation report), The TAF (Terminal Aerodrome Forecast) and SPECI (a special METAR report issued between the hourly METAR reports if conditions suddenly change) are analyzed. By defining each rule of the aviation weather data, a parse tree is setup by using a preprocessor tool JJTree running ahead of JavaCC. A complete implementation method is evaluated and proved to be successful in transforming meteorological data into XML. |
