Research And Application Of Ontology-based Knowledge Modelling And Representation Framework For Information System

With the explosive growth of information, textual and multimedia resources are touched in every part of our social life. A myriad of techniques, including Information Retrieval, Knowledge Modelling and Representation, etc., have been developed to facilitate the extraction and understanding of information and knowledge which is contained or implied in various data resources. In this paper, we focused on Information System, more specifically, Digital Library for CADAL and Knowledge Base for CKCEST, to build domain-specific model for concepts and relations as well as related entities so as to make use of the massive amounts of unstructured and semi-structured resources. And then, multi-level and multi-granularity knowledge services can be provided in order to meet the requirements of users in CADAL and CKCEST.The main contribution of our approach can be summarized as follow:First of all, we proposed an ontology-based domain modelling framework for separation and integration of unstructured and semi-structured resources. The ontology-based framework focuses on the key concepts and latent correlativity among the concepts which were automatically extracted from various heterogeneous data sources.Secondly, several knowledge sources have been used to build, modify and extend existed upper ontology. The extended upper ontology were used to assist the construction of domain-specific model.Finally, we have built the domain model of medical cases in Traditional Chinese Medicine (TCM) based on medical cases in CADAL and CKCEST. Then, Medical Cases Knowledge Services based on the domain model have been provided to users in CADAL and CKCEST.