Title :
Visual Data Alignment for Search Engine Results Pages
Author :
Hong, Jer Lang ; Siew, Eu-Gene ; Egerton, Simon
Abstract :
Visual wrappers use visual information in addition to the DOM Tree properties in the extraction of data records. However, a closer look indicates that visual information can also be used to align data records into tabular form. In this paper, we propose a data alignment algorithm to align data records using DOM Tree properties and visual cue of data records. Our data alignment algorithm uses a regular expression rule and incorporates visual cue such as relative position and size of data items to provide options for the alignment of iterative and disjunctive data items. Results show that our wrapper performs better than existing state of the art wrappers.
Keywords :
data visualisation; records management; search engines; tree data structures; DOM tree properties; data alignment algorithm; disjunctive data items; iterative data items; regular expression rule; search engine results pages; visual cue; visual data alignment; visual wrappers; Cats; Data mining; HTML; Information retrieval; Iterative algorithms; Positron emission tomography; Robustness; Search engines; Tree data structures; Visual perception; Data Alignment; Visual Information; Wrapper;
Conference_Titel :
Computer Research and Development, 2010 Second International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-0-7695-4043-6
DOI :
10.1109/ICCRD.2010.78