LarKC - The Large Knowledge Collider - a platform for massive distributed incomplete reasoning.

The project goals include:

• Enriching the current logic-based Semantic Web reasoning methods with methods from information retrieval, machine learning, information theory, databases, and probabilistic reasoning;
• Employing cognitively inspired approaches and techniques such as spreading activation, focus of attention, reinforcement,etc;
• Building a distributed reasoning platform and realizing it both on a high-performance computing cluster and via "computing at home".

LarKC is funded as an Information and Communication technologies Project under European Commission 7th FP with a budget around 7.3M euros. It started April 2008 and runs for 3 years. LarKC is coordinated by UIBK, Austria.

Contact: Vassil Momtchev

Project objectives

The primary objective of the Large Knowledge Collider (LarKC) is the development of a platform for massive distributed incomplete reasoning that will remove these scalability barriers.

Ontotext involvement in LarKC

Main responsibilities:

• Semantic Integration for Early Clinical Development;
• Definition and validation of goals and metrics for the LarKC platform;
• PIKB.