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A framework for the massive knowledge Web
Author(s) -
Sun Xiaoping,
Zhuge Hai,
Li Qing
Publication year - 2009
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.1372
Subject(s) - computer science , semantic web stack , world wide web , semantics (computer science) , semantic grid , social semantic web , semantic web , semantic computing , information retrieval , semantic analytics , scalability , semantic web rule language , object (grammar) , search engine indexing , database , programming language , artificial intelligence
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.