TY - JOUR
T1 - Organizing domain-specific information on the Web
T2 - An experiment on the Spanish business Web directory
AU - Chung, Wingyan
AU - Lai, Guanpi
AU - Bonillas, Alfonso
AU - Xi, Wei
AU - Chen, Hsinchun
N1 - Funding Information:
This research was partly supported by fundings from National Science Foundation (NSF) Digital Library Initiative-2, “High-performance Digital Library Systems: From Information Retrieval to Knowledge Management,” IIS-9817473, April 1999–March 2002, NSF Knowledge Discovery and Dissemination (KDD) Program #9983304 (June 2003–March 2004 and October 2003–March 2004), and The University of Texas at El Paso. We thank all the contributors of system development and user study, and the expert and human subjects in the experiment.
PY - 2008/2
Y1 - 2008/2
N2 - Web directories organize voluminous information into hierarchical structures, helping users to quickly locate relevant information and to support decision-making. The development of existing ontologies and Web directories either relies on expert participation that may not be available or uses automatic approaches that lack precision. As more users access the Web in their native languages, better approaches to organizing and developing non-English Web directories are needed. In this paper, we have proposed a semi-automatic framework, which consists of anchor directory boosting, meta-searching, and heuristic filtering, to construct domain-specific Web directories. Using the framework, we have built a Web directory in the Spanish business (SBiz) domain. Experimental results show that the SBiz Web directory achieved significantly better recall, F-value, efficiency, and satisfaction rating than the benchmark directory. Subjects provided favorable comments on the SBiz Web directory. This research thus contributes to developing a useful framework for organizing domain-specific information on the Web and to providing empirical findings and useful insights for end-users, system developers, and researchers of Web information seeking and knowledge management.
AB - Web directories organize voluminous information into hierarchical structures, helping users to quickly locate relevant information and to support decision-making. The development of existing ontologies and Web directories either relies on expert participation that may not be available or uses automatic approaches that lack precision. As more users access the Web in their native languages, better approaches to organizing and developing non-English Web directories are needed. In this paper, we have proposed a semi-automatic framework, which consists of anchor directory boosting, meta-searching, and heuristic filtering, to construct domain-specific Web directories. Using the framework, we have built a Web directory in the Spanish business (SBiz) domain. Experimental results show that the SBiz Web directory achieved significantly better recall, F-value, efficiency, and satisfaction rating than the benchmark directory. Subjects provided favorable comments on the SBiz Web directory. This research thus contributes to developing a useful framework for organizing domain-specific information on the Web and to providing empirical findings and useful insights for end-users, system developers, and researchers of Web information seeking and knowledge management.
KW - Browsing
KW - Business intelligence
KW - Internet
KW - Knowledge management
KW - Non-English Web browsing
KW - Ontology
KW - Spanish
KW - Web
UR - http://www.scopus.com/inward/record.url?scp=36248956657&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=36248956657&partnerID=8YFLogxK
U2 - 10.1016/j.ijhcs.2007.08.003
DO - 10.1016/j.ijhcs.2007.08.003
M3 - Article
AN - SCOPUS:36248956657
SN - 1071-5819
VL - 66
SP - 51
EP - 66
JO - International Journal of Human Computer Studies
JF - International Journal of Human Computer Studies
IS - 2
ER -