Abstract. Correctly identifying the embedded queries within the source code of an information system is a significant aid to developers and administrators, as it can facilitate the visualization of a map of the information system, the identification of areas affected by schema evolution, code migration, and the planning of the joint maintenance of code and data. In this paper, we provide a solution to the problem of identifying the location and semantics of embedded queries with a generic, language-independent method that identifies the embedded queries of a data-intensive ecosystem, regardless of the programming style and the host language, and represents them in a universal, also language-independent manner that facilitates the aforementioned maintenance, evolution and migration tasks with minimal user effort and significant effectiveness.