Scalable conceptual hierarchy based algorithm for knowledge sharing in digital ecosystem
Huaiguo Fu · 2008
Knowledge sharing between participants of the ecosystem is one core of the digital ecosystem. This paper proposes a framework of distributed knowledge sharing in digital ecosystem and a scalable algorithm for knowledge sharing in digital ecosystem. The algorithm is based on concept lattice that is a popular mathematical structure for modeling conceptual hierarchies. The algorithm can decompose the search space of formal concepts into independent non-overlapping subspaces that can be extracted independently to generate formal concepts. The experimental results show the algorithm is efficient to extract and present formal concepts in large data.