DocumentCode
2185406
Title
WISE: a visual tool for automatic extraction of objects from World Wide Web
Author
Jan, Yi-Wei ; Tsay, Jyh-Jong ; Wu, Bo-Liang
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
fYear
2005
fDate
19-22 Sept. 2005
Firstpage
590
Lastpage
593
Abstract
Automatic identification and extraction of interesting objects instead of just related Web pages is useful to users of the World Wide Web. For example, an instructor teaching a data mining course may be interested in finding all text books, lecture notes, slides, homeworks and term projects from Web pages of all data mining and their related courses. In this paper, we present a tool WISE for extraction of objects from Web pages, which are of interest. In WISE, objects in HTML pages are defined as nodes in an extension of DOM trees. Extraction of objects is then formulated as the problem of classification of tree nodes. We develop a mechanism for object specifications, and a specific-to-general (bottom-up) search algorithm for learning object specifications. Experiment shows that WISE works well for extracting objects such as, for example, extracting items in paper lists, and extracting lists of lecture notes in algorithms courses.
Keywords
Web sites; data visualisation; feature extraction; hypermedia markup languages; object detection; query formulation; trees (mathematics); DOM tree; HTML page; WISE; Web page; World Wide Web; automatic object extraction; automatic object identification; bottom-up search algorithm; object specification; specific-to-general search algorithm; tree node classification; visual tool; Books; Classification tree analysis; Computer science; Crawlers; Data mining; Education; HTML; Search engines; Web pages; Web sites;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence, 2005. Proceedings. The 2005 IEEE/WIC/ACM International Conference on
Print_ISBN
0-7695-2415-X
Type
conf
DOI
10.1109/WI.2005.167
Filename
1517914
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