PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

The ALVIS Document Model for a Semantic Search Engine
Wray Buntine, Kimmo Valtonen and Michael P. Taylor
In: 2nd Annual European Semantic Web Conference, 29 May - 01 June 2005, Heraklion, Crete.

Abstract

ALVIS researches the design, use and interoperability of topic-specific search engines with the goal of developing an open source prototype of a peer-to-peer, semantic-based search engine. Our approach is not the traditional Semantic Web approach with coded meta-data, but rather an engine that can build on content through semi-automatic analysis. This paper describes the ALVIS document processing architecture, the first part of the ALVIS pipeline.

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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Information Retrieval & Textual Information Access
ID Code:976
Deposited By:Wray Buntine
Deposited On:26 May 2005