Abstract
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 scenario's. 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 open-edi transactions.