DOM-based content extraction of HTML documents

By Suhit Gupta, Gail E Kaiser, David Neistadt, Peter Grimm. The Web Conference, 2003

407 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Where are your Manners? Sharing Best Community Practices in the Web 2.0 (2009, positive): “In [14] aut hors presented a tool which highlights the role of each fragment in a web page through a pre-filtering phase in charge of selecting images, objects, links, logos and a post-filter ph ases in charge of interpreting chunks of text and structured data.”
Learning block importance models for web pages (2004, methodology): “Block importance can also be applied to facilitate the web adaptation applications driven by the proliferation of small mobile devices [8].”
To Clean or Not to Clean (2018, background): “Of course, parsing of Web pages and extraction of useful content, particularly in the presence of navigational and advertisement blocks, and syntactic errors, is a challenging task that has been extensively studied [11, 38, 56, 68, 69].”