DocumentCode
1993492
Title
Automatic discovery of semantic structures in HTML documents
Author
Mukherjee, Saikat ; Yang, Guizhen ; Tan, Wenfang ; Ramakrishnan, I.V.
Author_Institution
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA
fYear
2003
fDate
3-6 Aug. 2003
Firstpage
245
Abstract
Template-driven HTML documents possess an implicit, fixed schema denoting concepts and their relationships in a hierarchical fashion. Discovering this schema remains a relatively unexplored problem. By exploiting a key observation that semantically related items in HTML documents exhibit spatial locality, we develop an algorithm for automatically partitioning them into tree-like semantic structures which expose the implicit schema.
Keywords
Web sites; hypermedia markup languages; text analysis; tree data structures; HTML document; Web sites; automatic partitioning algorithm; automatic semantic structure discovery; spatial locality; tree-like structure; HTML; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on
Print_ISBN
0-7695-1960-1
Type
conf
DOI
10.1109/ICDAR.2003.1227667
Filename
1227667
Link To Document