A framework for the massive knowledge Web

X. Sun, H. Zhuge, Qing Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)705-723
Number of pages19
JournalConcurrency Computation Practice and Experience
Volume21
Issue number5
DOIs
Publication statusPublished - 10 Apr 2009
Externally publishedYes

Keywords

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

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computer Science Applications
  • Computer Networks and Communications
  • Computational Theory and Mathematics

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