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Based on the four approaches for data conversion: Customized program, Interpretive transformer, Translator generator, and Logical level translation, this paper proposes a new interpretive approach using Structured Export Markup Language (SEML) interpreter for converting relational data into XML documents. The frameworks and languages proposed by other researchers are neither generic nor able to generate arbitrary XML documents. Therefore, SEML interpreter is a simple, user friendly, and complete solution with a new mark-up language ? SEML ? for data conversion. The solution can be used as a generic tool for extracting, transforming, and loading (ETL) purposes. In other words, the SEML interpreter is a solution for relational databases similar to what X-Query is for XML databases.<\/p>","DOI":"10.4018\/jdm.2012010103","type":"journal-article","created":{"date-parts":[[2012,1,13]],"date-time":"2012-01-13T08:48:26Z","timestamp":1326444506000},"page":"49-77","source":"Crossref","is-referenced-by-count":10,"title":["An Interpreter Approach for Exporting Relational Data into XML Documents with Structured Export Markup Language"],"prefix":"10.4018","volume":"23","author":[{"given":"Joseph","family":"Fong","sequence":"first","affiliation":[{"name":"City University of Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Herbert","family":"Shiu","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jdm.2012010103-0","unstructured":"(2009). JSR-73 Expert Group: Data Mining API. 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