DocumentCode :
3228798
Title :
Automated Concept Discovery from Web Resources
Author :
Dittenbach, Michael ; Berger, Helmut ; Merkl, Dieter
Author_Institution :
iSpaces Res. Group, E-Commerce Competence Center, Wien
fYear :
2006
fDate :
18-22 Dec. 2006
Firstpage :
309
Lastpage :
312
Abstract :
The task of researching information on a particular topic using the Web is mainly accomplished by using keyword-based search engines. Although this approach provides a good starting point, it remains a tedious task to collect additional information that puts this topic in greater context. In this paper we present ConceptWorld, an instrument to automatically discover various facets of a topic of interest by extracting concepts from Web documents. The result materializes as a network of semantic concepts with their various contextual interrelations and provides a holistic view on the topic of interest
Keywords :
Internet; data structures; directed graphs; document handling; information retrieval; search engines; ConceptWorld; Web document concept extraction; Web resources; automated concept discovery; keyword-based search engine; semantic concept network; Alzheimer´s disease; Automation; Data mining; Instruments; Multiple sclerosis; Natural languages; Search engines; Semantic Web; Web pages; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7
Type :
conf
DOI :
10.1109/WI.2006.45
Filename :
4061383
Link To Document :
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