Authors: Xiangzhu Gao, San Murugesan, Bruce W.N. Lo
Addresses: Southern Cross University Lismore, NSW 2480, Australia. ' Southern Cross University Lismore, NSW 2480, Australia. ' University of Wisconsin-Eau Claire, Eau Claire, WI 54702-4004, USA
Abstract: Quality Business Intelligence (BI) is widely recognised as critical to sustaining competitive advantage in the dynamic business environment. One of the major challenges to BI is how to efficiently and effectively retrieve business information for analysis to aid decision-making. Information extraction is an important issue in information retrieval (IR). We propose a simple method to extract key terms from electronic documents based on syntactic rules, geographic layout of document, occurrence of terms and co-occurrence of related terms. We also integrated the concept scope of terms into the method, which aids in ranking the extracted terms.
Keywords: business intelligence; BI; information retrieval; websites; electronic documents; key terms; extraction; text mining; metadata; performance evaluation; concept scope; electronic business; e-business; business integration.
International Journal of Electronic Business, 2006 Vol.4 No.3/4, pp.221 - 238
Published online: 08 Sep 2006 *Full-text access for editors Access for subscribers Purchase this article Comment on this article