Towards Adaptive Information Merging Using Selected XML Fragments

As XML information proliferates on the Web, searching XML information via a search engine is crucial to the experience of both casual and experienced Web users. The returned XML fragments in the list is not directly usable, if not confusing, to the users, since in most cases the XML fragments extracted from a large XML repository are incomplete, scattered and redundant. Thus, it is necessary to re-iterate the searching process based on user preferences in order to obtain more complete, detailed and usable results. In this paper, we propose a unifying framework which takes searching, merging and user preferences into account. We view search queries and fragment labeling as an input in an on-going searching process, in which the relevant XML fragments are merged into a concise form and returned to the user a ranked result list.

• Type: Conference
• Year: 2007
• Where: DASFAA
• Authors: Ho Lam Lau, Wilfred Ng
• Keywords: DASFAA 2007, Database, Searching Process, XML Fragments, XML Information