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.
%0 Conference Paper
%1 1249124
%A Dittenbach, Michael
%A Berger, Helmut
%A Merkl, Dieter
%B WI '06: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
%C Washington, DC, USA
%D 2006
%I IEEE Computer Society
%K ontology ontologylearning
%P 309--312
%R http://dx.doi.org/10.1109/WI.2006.45
%T Automated Concept Discovery from Web Resources
%U http://portal.acm.org/citation.cfm?id=1248823.1249124&coll=ACM&dl=ACM&CFID=69871947&CFTOKEN=53159907
%X 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.
%@ 0-7695-2747-7
@inproceedings{1249124,
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.},
added-at = {2008-05-26T10:02:24.000+0200},
address = {Washington, DC, USA},
author = {Dittenbach, Michael and Berger, Helmut and Merkl, Dieter},
biburl = {https://www.bibsonomy.org/bibtex/21384077d8e5be99f79a855015d1e39cf/enterldestodes},
booktitle = {WI '06: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence},
description = {Automated Concept Discovery from Web Resources},
doi = {http://dx.doi.org/10.1109/WI.2006.45},
interhash = {6072c0af1d2380940540d39c69bdba24},
intrahash = {1384077d8e5be99f79a855015d1e39cf},
isbn = {0-7695-2747-7},
keywords = {ontology ontologylearning},
pages = {309--312},
publisher = {IEEE Computer Society},
timestamp = {2008-05-26T10:02:24.000+0200},
title = {Automated Concept Discovery from Web Resources},
url = {http://portal.acm.org/citation.cfm?id=1248823.1249124&coll=ACM&dl=ACM&CFID=69871947&CFTOKEN=53159907},
year = 2006
}