PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Opportunities from Open Source Search
Wray Buntine, Karl Aberer, Ivana Podnar and Martin Rajman
In: 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 20-22 Sept 2005, Compiegne, France.

Abstract

Internet search has a strong business model that permits a free service to users, so it is difficult to see why, if at all, there should be open source offerings as well. This paper first discusses open source search, and a rationale for the computer science community at large to get involved. Because there is no shortage of core open source components for at least some of the tasks involved, the Alvis Consortium is building infrastructure for open source search engines using peer-to-peer and subject specific technology as its core, based on this rationale. We view open source search as a rich future playground in which information extraction and retrieval components can be used and intelligent agents can operate.

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EPrint Type:Conference or Workshop Item (Invited Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:1135
Deposited By:Wray Buntine
Deposited On:23 October 2005