Scalable conceptual hierarchy based algorithm for knowledge sharing in digital ecosystem

Author

Fu, Huaiguo

Author_Institution

Telecommun. Software & Syst. Group, Waterford Inst. of Technol., Waterford

fYear

2008

fDate

26-29 Feb. 2008

Firstpage

50

Lastpage

58

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/DEST.2008.4635177

Filename

4635177