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

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


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
Title of host publicationProceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008
Number of pages6
Publication statusPublished - 2008
Event2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008 - Santa Clara, CA, United States
Duration: 4 Aug 20087 Aug 2008


Conference2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008
Country/TerritoryUnited States
CitySanta Clara, CA


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