Intelligent metasearch engine for knowledge management

Eui Hong Han, George Karypis, Doug Mewhort, Keith Hatchard

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

The explosive growth of available information sources and the resulting information overload pose several problems for users in many business organizations and educational institutions. First, searching through several information sources, one at a time, is a source of enormous frustration for users. Second, top-ranked documents in search results are frequently irrelevant to what users are interested in. To address these problems, we have developed iXmetafind™, a powerful metasearch engine that gathers, evaluates, ranks, and reports the most relevant results from multiple information sources, including library catalogs, proprietary databases, intranets, and Web search engines. In addition to basic metasearch capabilities, iXmetafind uses personalization and clustering techniques to find the most relevant results for users. In this paper, we briefly describe technologies used in iXmetafind and present Pinpoint™ from Sagebrush Corporation, the smart research tool™ in the kindergarten through twelfth grade (K-12) school environment. Pinpoint showcases iXmetafind in the knowledge management domain of the K-12 school environment.

Original languageEnglish (US)
Pages492-495
Number of pages4
DOIs
StatePublished - 2003
EventCIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management - New Orleans, LA, United States
Duration: Nov 3 2003Nov 8 2003

Other

OtherCIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management
CountryUnited States
CityNew Orleans, LA
Period11/3/0311/8/03

Keywords

  • Clustering
  • Collaboration
  • Collection fusion
  • Library automation
  • Metasearch
  • Personalization

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