Semi-structured data extraction and schema knowledge mining

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