Towards LarKC: A platform for Web-scale reasoning

Dieter Fensel, Frank Van Harmelen, Bo Andersson, Paul Brennan, Hamish Cunningham, Emanuele Delia Valle, Florian Fischer, Zhisheng Huang, Atanas Kiryakov, Tony Kyung Il Lee, Lael Schooler, Volker Tresp, Stefan Wesner, Michael Witbrock, Ning Zhong

Research output: Chapter in Book/Entry/PoemConference contribution

108 Scopus citations

Abstract

Current Semantic Web reasoning systems do not scale to the requirements of their hottest applications, such as analyzing data from millions of mobile devices, dealing with terabytes of scientific data, and content management in enterprises with thousands of knowledge workers. In this paper, we present our plan of building the Large Knowledge Collider, a platform for massive distributed incomplete reasoning that will remove these scalability barriers. This is achieved by (i) enriching the current logic-based Semantic Web reasoning methods, (ii) employing cognitively inspired approaches and techniques, and (iii) building a distributed reasoning platform and realizing it both on a high-performance computing cluster and via "computing at home". In this paper, we will discuss how the technologies of LarKC would move beyond the state-of-the-art of Web-scale reasoning.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008
Pages524-529
Number of pages6
DOIs
StatePublished - 2008
Externally publishedYes
Event2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008 - Santa Clara, CA, United States
Duration: Aug 4 2008Aug 7 2008

Publication series

NameProceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008

Other

Other2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008
Country/TerritoryUnited States
CitySanta Clara, CA
Period8/4/088/7/08

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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