DEPTA: An efficient technique for web data extraction and alignment

Arati Manjaramkar, Rahul L Lokhande
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引用次数: 4

Abstract

Many web databases contains the data in the form of structured, semi structured and in unstructured format. This paper studies the issue of extracting these data records from online web database. The main motto of this paper is to recognize the data region which contains the data records, divide these data records, mine the data value from them and keep these extracted record in a structured format. This arrangement of extracted data is useful for many application like knowledge discovery purpose etc. Existing system has some data records arrangement problem which does not arrange dynamically generated web data properly. The proposed system is based on identification of data records, extraction of data values and arranging these data values in a database. The proposed system uses the partial tree alignment method for giving the better alignment outcome.
DEPTA:一种有效的web数据提取和对齐技术
许多web数据库包含结构化、半结构化和非结构化格式的数据。本文研究了从在线web数据库中提取这些数据记录的问题。本文的主要思想是识别包含数据记录的数据区域,对这些数据记录进行划分,从中挖掘数据值,并将提取的数据记录以结构化格式保存。这种抽取数据的排列方式对于知识发现等应用非常有用。现有系统存在数据记录排列问题,不能正确排列动态生成的web数据。所提出的系统是基于数据记录的识别、数据值的提取和数据库中这些数据值的排列。该系统采用部分树对齐方法,以获得更好的对齐结果。
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