A framework for the massive knowledge Web

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.

[1]  Harris Wu,et al.  Probabilistic question answering on the web , 2002, WWW '02.

[2]  Srinivasan Seshan,et al.  Mercury: supporting scalable multi-attribute range queries , 2004, SIGCOMM '04.

[3]  Xue Chen,et al.  SRing: a structured non dht p2p overlay supporting string range queries , 2007, WWW '07.

[4]  David R. Karger,et al.  Looking up data in P2P systems , 2003, CACM.

[5]  Yehoshua Sagiv,et al.  Flexible queries over semistructured data , 2001, PODS '01.

[6]  Antonio Gulli,et al.  The indexable web is more than 11.5 billion pages , 2005, WWW '05.

[7]  Jie Liu,et al.  A scalable P2P platform for the knowledge grid , 2005, IEEE Transactions on Knowledge and Data Engineering.

[8]  Hai Zhuge,et al.  Autonomous semantic link networking model for the Knowledge Grid , 2007, Concurr. Comput. Pract. Exp..

[9]  Wei-Ying Ma,et al.  Web object retrieval , 2007, WWW '07.

[10]  Thomas Schwentick,et al.  Two-variable logic on data trees and XML reasoning , 2009, JACM.

[11]  Barry Smyth,et al.  Supporting intelligent Web search , 2007, TOIT.

[12]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[13]  Carlo Zaniolo,et al.  Efficient Structural Joins on Indexed XML Documents , 2002, VLDB.

[14]  Ji-Rong Wen,et al.  WWW 2007 / Track: Search Session: Personalization A Largescale Evaluation and Analysis of Personalized Search Strategies ABSTRACT , 2022 .

[15]  Frank van Harmelen,et al.  Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema , 2002, SEMWEB.

[16]  Marcelo Arenas,et al.  Semantics and complexity of SPARQL , 2006, TODS.

[17]  Hai Zhuge,et al.  The Web Resource Space Model , 2008 .

[18]  George A. Mihaila.  WebSQL - An SQL-like Query Language for the World Wide Web , 1996 .

[19]  Sriram Raghavan,et al.  Complex Queries over Web Repositories , 2003, VLDB.

[20]  Alberto O. Mendelzon,et al.  Formal models of Web queries , 1997, Inf. Syst..

[21]  Michael B. Jones,et al.  SkipNet: A Scalable Overlay Network with Practical Locality Properties , 2003, USENIX Symposium on Internet Technologies and Systems.

[22]  Yong Yu,et al.  Optimizing web search using social annotations , 2007, WWW '07.

[23]  Diego Calvanese,et al.  The Description Logic Handbook: Theory, Implementation, and Applications , 2003, Description Logic Handbook.

[24]  Valery Soloviev,et al.  An overview of three commercial object-oriented database management systems: ONTOS, ObjectStore, and O2 , 1992, SGMD.

[25]  Timothy W. Finin,et al.  Swoogle: a search and metadata engine for the semantic web , 2004, CIKM '04.

[26]  Chunqiang Tang,et al.  Answering relationship queries on the web , 2007, WWW '07.

[27]  Mario Cannataro,et al.  The knowledge grid , 2003, CACM.