tailieunhanh - Báo cáo khoa học: "Modelling Knowledge for a Natural Language Understanding System"

In the field of knowledge based systems for natural language processing, one of the most challenging aims is to use parts of an existing knowledge base for different domains and/or different tasks. We support the point that this problem can only be solved by using adequate metainformation about the content and structuring principles of the representational systems concerned. One of the prerequisites in this respect is the transparency of modelling decisions. | Modelling Knowledge for a Natural Language Understanding System Gudrun Klose Thomas Pirlein IBM Germany Scientific Center Institute for Knowledge Based Systems 80 08 80 D-7000 Stuttgart 80 Email KLOSEODSOL1LOG PIRLEIN@DSOLILOG Abstract In the field of knowledge based systems for natural language processing one of the most challenging aims is to use parts of an existing knowledge base for different domains and or different tasks. We support the point that this problem can only be solved by using adequate metainformation about the content and structuring principles of the representational systems concerned. One of the prerequisites in this respect is the transparency of modelling decisions. After a short introduction to our scenario we will propose general ditnennom for characterizing knowledge in knowledge based systems. These dimensions will be differentiated according to linguistic levels of investigation in order to deduce structuring principle for the modelling process. The. resulting criteria will be evaluated in a detailed example taken from our prototypical implementation. We hope to contribute some promising steps towards a methodology of knowledge engineering with natural language and common sense orientation. 1 Introduction In the following we want to sketch first results of knowledge engineering research which was undertaken for the LILOG project Linguistic and logic methods . LILOG develops concepts for natural language systems for text understanding. Major results are available in a prototype system LEU 21 LILOG Experimentier- Umgebung 2. In order to reduce the complexity of the system it has to be decomposed into modules. Leu 2 is being developped at ISM Germany in cooperation with some university partners and is fully implemented in Prolog under AIX. The knowledge base for the domain under investigation consists of about 600 concept definitions among these some 100 belonging to the upper structure. The number of attributes for each of these .

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