A brief survey of Web data extraction tools

被引：57

作者：

Laender, AHF ^{[1
]}

Ribeiro-Neto, BA ^{[1
]}

da Silva, AS ^{[1
]}

Teixeira, JS ^{[1
]}

机构：

[1] Univ Fed Minas Gerais, Dept Comp Sci, BR-31270901 Belo Horizonte, MG, Brazil

来源：

SIGMOD RECORD | 2002年 / 31卷 / 02期

关键词：

D O I：

10.1145/565117.565137

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the last few years, several works in the literature have addressed the problem of data extraction from Web pages. The importance of this problem derives from the fact that, once extracted, the data can be handled in a way similar to instances of a traditional database. The approaches proposed in the literature to address the problem of Web data extraction use techniques borrowed from areas such as natural language processing, languages and grammars, machine learning, information retrieval, databases, and ontologies. As a consequence, they present very distinct features and capabilities which make a direct comparison difficult to be done. In this paper, we propose a taxonomy for characterizing Web data extraction tools, briefly survey major Web data extraction tools described in the literature, and provide a qualitative analysis of them. Hopefully, this work will stimulate other studies aimed at a more comprehensive analysis of data extraction approaches and tools for Web data.

引用

页码：84 / 93

页数：10