Use of Ontology in Text Classification

抄録

This paper introduces the method of ontology based text classification. The class of ontology is associated with the related words and their weights from the pre-classified documents as a learning stage. In the main process, the words and their mutual relations are extracted from the target documents. Then the target document is mapped with classes of ontology. We experiment with International Patent Classification (IPC) ontology and huge pre-classified patent documents to classify scientific abstract.