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This paper proposes an ontology-driven self-adapting approach in semi-structure web information extracting field, where ontology provides semantic support and plays a central role during the extraction process. It excels traditional wrapper systems at adaptiveness and maintenance. Firstly, we build a domain-dependant ontology. Then we design three templates generating algorithms, which have self-adaptiveness and selfmaintenance based on the ontology, to perform the web page information extraction. Experiment results show that our prototype system can achieve 100% recall & 97.64% precision. Keyword ontology, information extraction, knowledge discovery

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