A framework for the massive knowledge Web

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

3 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)705-723
Journal / PublicationConcurrency Computation Practice and Experience
Volume21
Issue number5
Publication statusPublished - 10 Apr 2009

Abstract

This paper proposes a framework consisting of a semantic object model and a scalable platform for supporting effective publishing and sharing of massive knowledge on Web 2.0. The platform integrates the P2P computing techniques to provide users with flexible tools to manage personalized resources and services. The semantic object model provides an object-oriented semantic description language and a semantic object query language for publishing and querying resources. Semantic indexing mechanisms are used to support efficient semantic query processing. The semantic object model enables users to define and manipulate semantics with more explicit object semantics and can be well adapted to the P2P platform to support scalable and extensible management on semantics-rich Web resources. Copyright © 2008 John Wiley & Sons, Ltd.

Research Area(s)

  • Object-oriented, P2P, Query model, Semantic object, Web 2.0

Citation Format(s)

A framework for the massive knowledge Web. / Sun, Xiaoping; Zhuge, Hai; Li, Qing.

In: Concurrency Computation Practice and Experience, Vol. 21, No. 5, 10.04.2009, p. 705-723.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review