Title
Automated Concept Discovery from Web Resources
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.
Year
DOI
Venue
2006
10.1109/WI.2006.45
Web Intelligence
Keywords
Field
DocType
various facet,web document,additional information,web resources,particular topic,keyword-based search engine,tedious task,holistic view,greater context,automated concept discovery,various contextual interrelation,semantic concept,data structures,search engine,directed graphs,search engines,information retrieval,internet
Web resource,Data structure,Data mining,World Wide Web,Search engine,Information retrieval,Computer science,Directed graph,Document handling,The Internet
Conference
ISBN
Citations 
PageRank 
0-7695-2747-7
1
0.39
References 
Authors
7
3
Name
Order
Citations
PageRank
Michael Dittenbach129726.48
Helmut Berger2383.63
Dieter Merkl3846115.65