Abstract
Huge amounts of knowledge are available in human organizations in the form of texts. However, there are still few research projects dealing with the problem of extracting knowledge from texts in order to build knowledge bases. We present here a knowledge acquisition system, SACD, which identifies the logical structure of prescriptive texts (regulations, norms), from which it generates a knowledge base composed of a set of so called “eontic rules”. We are currently working on French versions of regulatory texts. In this paper we present the elements of a text grammar which is used by SACD to analyze the logical content of prescriptive texts: modalities, conditions, cross-references etc. Since cross-references are the main elements influencing the interpretation of the text logical content, we show how SACD process them in order to generate deontic rules.
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