Distributed document sharing with text classification over content-addressable network

Abstract

Content-addressable network is a scalable and robust distributed hash table providing distributed applications to store and retrieve information in an efficient manner. We consider design and implementation issues of a document sharing system over a content-addressable overlay network. Improvements and their applicability on a document sharing system are discussed. We describe our system prototype in which a hierarchical text classification approach is proposed as an alternative hash function to decompose dimensionality into lower dimensional realities. Properties of hierarchical document categories are used to obtain probabilistic class labels which also improves searching accuracy.