Ontology Driven Web Data Extraction

Data extraction from web document is becoming more popular and widely used for many tasks. The objective of this study is to develop web data extraction technique from IEEE Conference announcement website to search for important dates related to conference. At present, problems arise due to non-st...

全面介紹

Saved in:
書目詳細資料
主要作者: Hazlinda, Ghazali
格式: Thesis
語言:eng
eng
出版: 2004
主題:
在線閱讀:https://etd.uum.edu.my/1203/1/HAZLINDA_GHAZALI.pdf
https://etd.uum.edu.my/1203/2/1.HAZLINDA_GHAZALI.pdf
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結:Data extraction from web document is becoming more popular and widely used for many tasks. The objective of this study is to develop web data extraction technique from IEEE Conference announcement website to search for important dates related to conference. At present, problems arise due to non-standardized and free format web document. Besides that, multiple terms can have same meaning. In this study, information from web pages were extracted and structured from the websites by using ontology and used XML document to store data. The web data extraction technique is developed using Cold Fusion 4.5 web programming language.