We claim that the core mechanism of a sufficiently general Musical Information Retrieval (MIR) system should be expressed in symbolic terms. We defend the idea that music database should be pre-analyzed before being scanned for MIR queries. We suggest a new vision of automated pattern analysis that generalizes the multiple viewpoint approach by adding a new paradigm based on analogy and temporal approach of musical scores. Through a chronological scanning of the score, analogies are inferred between local relationships - namely, notes and intervals - and global structures - namely, patterns - whose paradigms are stored inside an abstract pattern tree (APT). Basic mechanisms for inference of new patterns are described. The same pattern-matching algorithm used for pattern discovery during pre-analysis of musical works is reused during MIR applications. Such an elastic vision of music enables a generalized understanding of its plastic expression. This project, in an early stage, introduces a broader paradigm of automated music analysis.