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Semi-structured data extraction and schema knowledge mining

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2 Author(s)
Enhong Chen ; Dept. of Comput. Sci., Univ. of Sci. & Technol. of China, Hefei, China ; Wang Xufa

It is well known that World Wide Web has become a huge information resource. Therefore, it is very important for us to utilize this kind of information effectively. This paper proposes a semi-structured data extraction method to get the useful information embedded in a group of relevant web pages, and store it with OEM (Object Exchange Model). Then, we adopt data mining method to discover schema knowledge implicit in the semi-structured data. This knowledge can make users understand the information structure on the web more deeply and thoroughly. At the same time, it can also provide a kind of effective schema for the querying of web information

Published in:

EUROMICRO Conference, 1999. Proceedings. 25th  (Volume:2 )

Date of Conference:

1999