• Title/Summary/Keyword: XML Topic Mans

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Semi-Automatic Ontology Generation about XML Documents using Data Mining Method (데이터 마이닝 기법을 이용한 XML 문서의 온톨로지 반자동 생성)

  • Gu Mi-Sug;Hwang Jeong-Hee;Ryu Keun-Ho;Hong Jang-Eui
    • The KIPS Transactions:PartD
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    • v.13D no.3 s.106
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    • pp.299-308
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    • 2006
  • As recently XML is becoming the standard of exchanging web documents and public documentations, XML data are increasing in many areas. To retrieve the information about XML documents efficiently, the semantic web based on the ontology is appearing. The existing ontology has been constructed manually and it was time and cost consuming. Therefore in this paper, we propose the semi-automatic ontology generation technique using the data mining technique, the association rules. The proposed method solves what type and how many conceptual relationships and determines the ontology domain level for the automatic ontology generation, using the data mining algorithm. Appying the association rules to the XML documents, we intend to find out the conceptual relationships to construct the ontology, finding the frequent patterns of XML tags in the XML documents. Using the conceptual ontology domain level extracted from the data mining, we implemented the semantic web based on the ontology by XML Topic Maps (XTM) and the topic map engine, TM4J.