Concepts and architectures for next-generation information search engines

Simon J. Shepherd

International Journal of Information Management, 2007, vol. 27, issue 1, 3-8

Abstract: We describe the key features of a next-generation information search engine that will enable more powerful and rewarding searches to be made than is possible with current search technology. By combining several powerful algorithms in a unique way, future search engines will be able to solve the problems of both synonymy and polysemy. The synonymy problem, where several different words mean the same thing, is relatively straightforward and represents the current state-of-the-art in search engine technology. The polysemy problem, where one word means several different things, is much harder to solve. Our proposal for a new kind of search engine (which we call Deep Search) prototypes a new idea combining logical linking, semantic analysis and clustering to overcome these problems and make possible a more powerful information search capability.

Keywords: Search engine; Internet; Information retrieval; Information management (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S026840120600082X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:27:y:2007:i:1:p:3-8

DOI: 10.1016/j.ijinfomgt.2006.06.005

Access Statistics for this article

International Journal of Information Management is currently edited by Yogesh K. Dwivedi

More articles in International Journal of Information Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().