Automated Concept Discovery from Web Resources

by: Michael Dittenbach, Helmut Berger, Dieter Merkl

(2006), pp. 309-312.

View FullText article

ACM, DOI

Reviews [Write a review of this article]

There are no reviews of this article

Find related articles from these CiteULike users

mthomure, ianturton, brusilovsky

Find related articles with these CiteULike tags

classification, concept-extraction, concepts, information-extraction, information-retrieval, web-based

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.

@inproceedings{citeulike:1717603, 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.}, address = {Washington, DC, USA}, author = {Dittenbach, Michael and Berger, Helmut and Merkl, Dieter }, booktitle = {WI '06: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence}, citeulike-article-id = {1717603}, doi = {10.1109/WI.2006.45}, isbn = {0769527477}, keywords = {concept-extraction}, pages = {309--312}, posted-at = {2007-10-23 18:17:06}, priority = {5}, publisher = {IEEE Computer Society}, title = {Automated Concept Discovery from Web Resources}, url = {http://portal.acm.org/citation.cfm?id=1249124}, year = {2006} }

RIS record

TY - CONF ID - citeulike:1717603 L3 - citeulike-article-id:1717603 TI - Automated Concept Discovery from Web Resources T2 - WI '06: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence SP - 309 EP - 312 AD - Washington, DC, USA PB - IEEE Computer Society SN - 0769527477 N2 - 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. KW - concept-extraction AU - Dittenbach, Michael AU - Berger, Helmut AU - Merkl, Dieter PY - 2006/// UR - http://portal.acm.org/citation.cfm?id=1249124 ER -

RIS BibTeX