RetriBlog: An architecture-centered framework for developing blog crawlers

被引:3
|
作者
Ferreira, Rafael [1 ]
Freitas, Fred [1 ]
Brito, Patrick [2 ]
Melo, Jean [1 ]
Lima, Rinaldo [1 ]
Costa, Evandro [2 ]
机构
[1] Univ Fed Pernambuco, BR-50670901 Recife, PE, Brazil
[2] Univ Fed Alagoas, BR-57072900 Maceio, AL, Brazil
关键词
Social web; Blog crawler; Content extraction; Tag recommendation; WEB;
D O I
10.1016/j.eswa.2012.08.020
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Blogs have become an important social tool. It allows the users to share their tastes, express their opinions, report news, form groups related to some subject, among others. The information obtained from the blogosphere may be used to create several applications in various fields. However, due to the growing number of blogs posted every day, as well as the dynamicity of the blogosphere, the task of extracting relevant information from the blogs has become difficult and time consuming. In this paper, we use information retrieval and extraction techniques to deal with this problem. Furthermore, as blogs have many variation points is required to provide applications that can be easily adapted. Faced with this scenario, the work proposes RetriBlog, an architecture-centered framework for the development of blog crawlers. Finally, it presents an evaluation of the proposed algorithms and three case studies. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1177 / 1195
页数:19
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