The Massive Knowledge Web
Xiaoping Sun, Hai Zhuge, Qing Li · 2008
As a vision for the future Web, this paper proposes Massive Knowledge Web (MKW), a referential architecture that will support effective sharing of versatile knowledge in a large-scale decentralized network, and establish effective and efficient means to manage massive knowledge which may be created, derived and shared by various sources including individual end-users on the Web 2.0. The architecture incorporates a virtual P2P overlay into the server side platform to support efficient knowledge management, semantics-rich and personalized query processing for huge amounts of dynamic and personalized Web contents in a large-scale distributed network environment. Three major components are discussed herein: (1) semantic data model for massive Web2.0 content, (2) semantics-rich query model, and (3) scalable distributed semantic indexing model. Among other advantages, MKW provides a feasible architectural solution to build more accessible, scalable and intelligent services on the future Web.