Opportunities from Open Source Search

• Published in: IEEE/WIC/ACM International Conference on web intelligence pp. 2 - 8
• Main Authors: Buntine, Wray, Aberer, Karl, Podnar, Ivana, Rajman, Martin
• Format: Conference Proceeding
• Language: English
• Published: Washington, DC, USA IEEE Computer Society 19.09.2005; IEEE
• Series: ACM Conferences
• Subjects: Advertising; Business communication; Companies; Computer science; Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Intelligent agents; Data mining; Information retrieval; Information systems > Information retrieval; Information systems > World Wide Web > Web applications; Information systems > World Wide Web > Web services; Information technology; Peer to peer computing; Search engines; Social and professional topics > Professional topics > Computing industry; Web and internet services
• ISBN: 076952415X; 9780769524153
• DOI: 10.1109/WI.2005.110

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.