Toward Learning Based Web Query Processing
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Extracting semantic structure of web documents using content and visual information
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Analyzing web page headings considering various presentation
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Proceedings of the 15th international conference on World Wide Web
Extracting content structure for web pages based on visual representation
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
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The hierarchical structure of a document plays an important role in understanding the relationships between its contents. However, such a structure is not always explicitly represented in web documents through available html hierarchical tags. Headings however, are usually differentiated from `normal' text in a document in terms of presentation thus providing an implicit structure discernable by a human reader. As such, an important pre-processing step for applications that need to operate on the hierarchical level is to extract the implicitly represented hierarchal structure. In this paper, an algorithm for heading detection and heading level detection which makes use of various visual presentations is presented. Results of evaluating this algorithm are also reported.