Scalable Conceptual Hierarchy based Algorithm for Knowledge Sharing in Digital Ecosystem

By 9th October 2009 No Comments
Huaiguo Fu
Scalable Conceptual Hierarchy based Algorithm for Knowledge Sharing in Digital Ecosystem
2nd IEEE International Conference on Digital Ecosystems and Technologies (DEST 2008)
Feb
2008
concept lattice, conceptual hierarchy, data mining, digital ecosystem, distributed knowledge sharing, mathematical structure
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.