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