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