Dynamically generating context-relevant sub-webs

  • Authors:
  • Art Vandenberg;Vijay K. Vaishnavi;Saravanaraj Duraisamy;Tianjie Deng

  • Affiliations:
  • Information Systems & Technology, Georgia State University, Atlanta, Georgia, U.S.A.;Computer Information Systems Department, Georgia State University, Atlanta, Georgia, U.S.A.;Computer Information Systems Department, Georgia State University, Atlanta, Georgia, U.S.A.;Computer Information Systems Department, Georgia State University, Atlanta, Georgia, U.S.A.

  • Venue:
  • DESRIST'10 Proceedings of the 5th international conference on Global Perspectives on Design Science Research
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

There is unprecedented growth of Web information but challenges on mining this vast information resource remain This paper addresses designing an effective prototype tool that dynamically generates sub-webs of information from a web-based resource (World Wide Web or a subset) Sub-webs present context-relevant results to individuals or groups Given that the prototype tool is technically implemented from multiple components, each of which has efficacy, there still remains the challenge of devising an appropriate evaluation of the complete model This is difficult when the search scope is the entire World Wide Web and a vast number of result pages are technically good on Recall but low on Precision This paper describes an iterative approach to finding an effective technical prototype using an evaluation method that can a) reasonably model the search environment of the World Wide Web and b) provide convincing metrics for evaluating efficacy of solutions.