Title :
Scalable conceptual hierarchy based algorithm for knowledge sharing in digital ecosystem
Author_Institution :
Telecommun. Software & Syst. Group, Waterford Inst. of Technol., Waterford
Abstract :
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.
Keywords :
data mining; distributed processing; concept lattice; conceptual hierarchy; data mining; digital ecosystem; distributed knowledge sharing; mathematical structure; Collaboration; Data analysis; Data mining; Ecosystems; Knowledge representation; Lattices; Machine learning algorithms; Mathematical model; Partitioning algorithms; Visualization; Algorithm; Concept lattice; Digital ecosystem; Formal concept analysis; Knowledge sharing;
Conference_Titel :
Digital Ecosystems and Technologies, 2008. DEST 2008. 2nd IEEE International Conference on
Conference_Location :
Phitsanulok
Print_ISBN :
978-1-4244-1489-5
Electronic_ISBN :
978-1-4244-1490-1
DOI :
10.1109/DEST.2008.4635177
