deriving link-context from html tag tree
HTML anchors are often surrounded by text that seems to describe the destination page appropriately. The text surrounding a link or the link-context is used for a variety of tasks associated with Web information retrieval. These tasks can benefit by identifying regularities in the manner in which "good" contexts appear around links. In this paper, we describe a framework for conducting such a study. The framework serves as an evaluation platform for comparing various link-context derivation methods. We apply the framework to a sample of Web pages obtained from more than 10,000 different categories of the ODP. Our focus is on understanding the potential merits of using a Web page's tag tree structure, for deriving link-contexts. We find that good link-context can be associated with tag tree hierarchy. Our results show that climbing up the tag tree when the link-context provided by greater depths is too short can provide better performance than some of the traditional techniques.
links link-context links context text tag tag tree tree paging association web information retrieval regularization paper evaluation platform method sampling web page understandability structure hierarchies performance  framework  dom linking