Meta-patterns for electronic commerce transactions based on FLBC

Due to the highly communicative character of electronic commerce transactions, open-edi representation languages such as FLBC, take the speech act (operator) as their basic building block. The advantage of this approach is that the "deep structure" of electronic commerce transactions is addressed rather than the form. In this paper, we try to reveal higher-level units of speech acts which are materialized in so called meta-analysis patterns. We define various levels, from speech acts to scenarios. Once patterns have been identified, they can be stored in an FLBC component library and be (re)used effectively by business partners to speed up opened transactions.