Semi-Automatic Ontology Generation about XML Documents using Data Mining Method


The KIPS Transactions:PartD, Vol. 13, No. 3, pp. 299-308, Jun. 2006
10.3745/KIPSTD.2006.13.3.299,   PDF Download:

Abstract

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.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
M. S. Gu, J. H. Hwang, K. H. Ryu, J. E. Hong, "Semi-Automatic Ontology Generation about XML Documents using Data Mining Method," The KIPS Transactions:PartD, vol. 13, no. 3, pp. 299-308, 2006. DOI: 10.3745/KIPSTD.2006.13.3.299.

[ACM Style]
Mi Sug Gu, Jeong Hee Hwang, Keun Ho Ryu, and Jang Eui Hong. 2006. Semi-Automatic Ontology Generation about XML Documents using Data Mining Method. The KIPS Transactions:PartD, 13, 3, (2006), 299-308. DOI: 10.3745/KIPSTD.2006.13.3.299.