Research on Ontology-based Representation Method for Textual Cases

How to map from texts to structured case representations and how to automatically generate representations have become the research hotspot in the fields of Textual Case-based Reasoning (TCBR). This paper presents methods that support automatically generation ontology-based representation for textual cases. We used the Ontology to describe the relationship between terms in application fields. First, we defined a new formal description method for Ontology. And then we propose a representations model for textual cases and describe the method of automatic generation method of this Model. Finally, based on the proposed model, a marketing case representation and management system is established. A real-world case of marketing is also applied in order to verify the feasibility of the proposed model. The verification results show that the system is efficient for keeping semantic information. As a whole, this research provides a knowledge representation and the automatic generation approach to facilitate knowledge management to efficiently and accurately describe the contents of text knowledge. The proposed model can be applied in TCBR to enhance reuse of domain knowledge.