Paper Info
Title
Towards LarKC: A Platform for Web-Scale Reasoning
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.
Year
DOI
Venue
2008
10.1109/ICSC.2008.41
Santa Clara, CA
Keywords
DocType
ISBN
communicative content,towards larkc,text mining,novel model,business relation,clustering technique,web-scale reasoning,social network analysis,content management,semantic web,scientific data,mobile device,knowledge engineering,cognition,scalability,reasoning system,distributed processing,owl,real time systems,computer architecture
Conference
978-0-7695-3279-0
Citations 
PageRank 
References 
67
3.66
7
Authors
15
Name
Order
Citations
PageRank
Dieter Fensel15545662.62
Frank van Harmelen24793446.86
Bo Andersson3673.66
Paul Brennan4673.66
Hamish Cunningham52426255.41
Emanuele Della Valle61207100.12
Florian Fischer7936.15
Zhisheng Huang898995.29
Atanas Kiryakov9106965.80
Tony Kyung-il Lee10705.10
Lael Schooler11705.53
Volker Tresp122907373.75
Stefan Wesner1337034.11
Michael Witbrock1437031.17
Ning Zhong152907300.63