DocumentCode :
1962654
Title :
Semi-automatic Acquisition of Semantic Descriptions of Web Sites
Author :
Agarwal, Sudhir
Author_Institution :
Karlsruhe Service Res. Inst. (KSRI), Univ. of Karlsruhe (TH), Karlsruhe, Germany
fYear :
2009
fDate :
11-16 Oct. 2009
Firstpage :
103
Lastpage :
108
Abstract :
In order to obtain the desired information or functionality in the Web, a user often needs to perform multiple interactions with the Web site, e.g. submitting Web forms filled up with appropriate information, and the further execution of such a Web process depends on the information provided by the user in the previous steps of the process. The formal models underlying existing systems for supporting users in coping with the Web do not capture the dynamics and data flow of Web processes. As a result, searching for information in the so called "Deep Web" or desired business processes offered via the Web still requires significant manual effort. In this paper, we present a semantic process description language and present a mapping of the dynamics and data flow of Web sites to our semantic process description language. In order to allow development of more sophisticated methods and tools that consider the dynamics and data flow inside or among Web sites, significant number of descriptions of Web sites are needed. We approach this bootstrapping problem by presenting a technique for semi-automatic acquisition of semantic descriptions of Web Sites.
Keywords :
Web sites; information retrieval; Web process data flow; Web process dynamics; Web sites; bootstrapping problem; business processes; formal models; semantic descriptions; semi-automatic acquisition; Automatic control; Books; Cities and towns; Credit cards; HTML; Informatics; Search engines; Web pages; Web services; deep web; semantics; web processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Semantic Processing, 2009. SEMAPRO '09. Third International Conference on
Conference_Location :
Sliema
Print_ISBN :
978-1-4244-5044-2
Electronic_ISBN :
978-0-7695-3833-4
Type :
conf
DOI :
10.1109/SEMAPRO.2009.15
Filename :
5291526
Link To Document :
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