DocumentCode :
2291331
Title :
WIKE: A Web Information/Knowledge Extraction System for Web Service Generation
Author :
Han, Hao ; Tokuda, Takehiro
Author_Institution :
Dept. of Comput. Sci., Tokyo Inst. of Technol., Meguro
fYear :
2008
fDate :
14-18 July 2008
Firstpage :
354
Lastpage :
357
Abstract :
We have a tremendous amount of information/knowledge available on the Web today. We often have a situation in which we need to collect partial contents of a whole page from one or a number of Web sites. Examples are collection of capital city names and population data from country profile sites or collection of company names and their industrial fields from finance sites. We present WIKE, a system for partial information extraction from Web pages without programming. We also give its applications to Web service generation.
Keywords :
Web services; Web sites; knowledge acquisition; WIKE; Web information; Web pages; Web service generation; Web sites; finance sites; knowledge extraction system; partial information extraction; Cities and towns; Computer science; Data mining; Diseases; Finance; Humans; Knowledge engineering; Web pages; Web services; XML; Web service; information extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Engineering, 2008. ICWE '08. Eighth International Conference on
Conference_Location :
Yorktown Heights, NJ
Print_ISBN :
978-0-7695-3261-5
Electronic_ISBN :
978-0-7695-3261-5
Type :
conf
DOI :
10.1109/ICWE.2008.30
Filename :
4577901
Link To Document :
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