DocumentCode :
3272657
Title :
Using graphically represented ontologies for searching content on the semantic Web
Author :
Wienhofen, Leendert W M
Author_Institution :
CognIT, Oslo, Norway
fYear :
2004
fDate :
14-16 July 2004
Firstpage :
801
Lastpage :
806
Abstract :
The idea behind the semantic Web is to include semantic information on each Web page, so that machine processing for retrieving relevant information is made easier (Berners-Lee et al., 1997). In order to be able to retrieve relevant information, the user still needs to be able to query the Web in an efficient way to exploit the full potential of semantic Web technology. This work describes an application design for using graphically represented ontologies for searching the (semantic) Web. One of the benefits of this approach is that these queries can be translated to different query languages such as RQL(Broekstra and Kampman, 2001; Karvounarakis, et al., 2001), OWL (Heflin, 2003), XQL (Robie et al., 1998), etc.
Keywords :
computer graphics; information retrieval; query languages; semantic Web; Web page; content searching; graphically represented ontology; information retrieval; machine processing; query languages; semantic Web; semantic information; Content based retrieval; Database languages; Information retrieval; Internet; Ontologies; Publishing; Semantic Web; Visual databases; World Wide Web; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualisation, 2004. IV 2004. Proceedings. Eighth International Conference on
ISSN :
1093-9547
Print_ISBN :
0-7695-2177-0
Type :
conf
DOI :
10.1109/IV.2004.1320232
Filename :
1320232
Link To Document :
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