Model and algebra for genetic information of data

Authors:
Deyou Tang;Jianqing Xi;Yubin Guo
Affiliations:
School of Computer Science and Engineering, South China University of Technology, Guangzhou, China;School of Computer Science and Engineering, South China University of Technology, Guangzhou, China;School of Computer Science and Engineering, South China University of Technology, Guangzhou, China
Venue:
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Year:
2006

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Abstract

The genetic information of data is the evolution information about data in its lifecycle, and it performs heredity and mutation with the diffusion of data. Managing the genetic information of data has significance to the information discrimination, auditing, tracing and lookup. This paper presents Data Genome Model (DGM) and its algebra to manage the genetic information of data in its lifecycle according to the gene of life. A structure named data genome is used to carry the genetic information of data and querying algebras are defined to manipulate the genetic information.