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Educational resources metadata automatically extracted strategy study

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成果类型:
期刊论文
作者:
Fang Yanfen*;Liu Qingtang
通讯作者:
Fang Yanfen
作者机构:
[Liu Qingtang; Fang Yanfen] Cent China Normal Univ, Dept Informat Technol, Wuhan 430079, Peoples R China.
通讯机构:
[Fang Yanfen] C
Cent China Normal Univ, Dept Informat Technol, Wuhan 430079, Peoples R China.
语种:
英文
期刊:
KAM: 2008 INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING, PROCEEDINGS
年:
2008
页码:
525-529
机构署名:
本校为第一且通讯机构
院系归属:
教育信息技术学院
摘要:
The development of network technology increases the amount of information on the Internet, how to obtain the information from these massive useful and effective automation technology resources become a problem to be resolved. In this paper we firstly introduce the working principle of HTMLParser and java-related regular expression knowledge, then a general unstructured documents for metadata automatically extracted model is set up, the model is mainly for semantic features, combining with page layouts, text messaging, logic an...

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