DocumentCode :
2126363
Title :
Educational Resources Metadata Automatically Extracted Strategy Study
Author :
Yanfen, Fang ; QingTang, Liu
Author_Institution :
Dept. of Inf. Technol., Central China Normal Univ., Wuhan
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
525
Lastpage :
529
Abstract :
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 HTML Parser 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 and other information has good field adaptation and language adaptation.
Keywords :
Internet; Java; computer aided instruction; hypermedia markup languages; meta data; HTML Parser; Internet; Java-related regular expression knowledge; automation technology resources; educational resources metadata; general unstructured documents; language adaptation; network technology development; Automatic logic units; Data mining; Educational technology; Information filtering; Information filters; Information technology; Java; Knowledge acquisition; Standardization; Standards development; Meta-data; extraction; obtaining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3488-6
Type :
conf
DOI :
10.1109/KAM.2008.175
Filename :
4732880
Link To Document :
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