Abstract
The essence of computer applications is to store things in the real world into computer systems in the form of data, i.e., it is a process of producing data. Some data are the records related to culture and society, and others are the descriptions of phenomena of universe and life. The large scale of data is rapidly generated and stored in computer systems, which is called data explosion. Data explosion forms data nature in computer systems. To explore data nature, new theories and methods are required. In this paper, we present the concept of data nature and introduce the problems arising from data nature, and then we define a new discipline named dataology (also called data science or science of data), which is an umbrella of theories, methods and technologies for studying data nature. The research issues and framework of dataology are proposed.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
http://www.emc.com/collateral/demos/microsites/idc-digital-universe/iview.htm (accessed May 2009)
Krawetz, S., Misener, S. (eds.): Bioinformatics Methods and Protocols. Humana Press (2000)
Zhong, N., Liu, J., Yao, Y.Y., Wu, J., Lu, S., Li, K. (eds.): Web Intelligence Meets Brain Informatics. LNCS (LNAI), vol. 4845, pp. 1–31. Springer, Heidelberg (2007)
Cao, L.B.: Behavior Informatics and Analytics: Let Behavior Talk. In: Proceedings of the 2008 IEEE International Conference on Data Mining Workshops (2008)
Berman, F., Fox, G., Hey, A. (eds.): Grid Computing: Making the Global Infrastructure a Reality. John Wiley & Sons, Chichester (2003)
Hayes, B.: Cloud Computing. Communications of the ACM 51(7), 9–11 (2008)
Zhong, N., Liu, J., Yao, Y.Y.: Envisioning Intelligent Information Technologies through the Prism of Web Intelligence. Communications of the ACM 50(3), 89–94 (2007)
Chapman, G., Marc, R.: The National Information Infrastructure: A Public Interest Opportunity. Computer Professionals for Social Responsibility 11(2), 13–15 (1993)
Collins, F.S., Patrinos, A., Jordan, E., et al.: New Goals for the U.S. Human Genome Project: 1998-2003. Science 282(5389), 682–689 (1998)
Freeston, M.: The Alexandria Digital Library and the Alexandria Digital Earth Prototype. In: Proceedings of the 4th ACM/IEEE-CS joint Conference on Digital Libraries (2004)
Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P.: From Data Mining to Knowledge Discovery: an overview. In: Advances in Knowledge Discovery and Data Mining (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhu, Y., Zhong, N., Xiong, Y. (2009). Data Explosion, Data Nature and Dataology. In: Zhong, N., Li, K., Lu, S., Chen, L. (eds) Brain Informatics. BI 2009. Lecture Notes in Computer Science(), vol 5819. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04954-5_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-04954-5_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04953-8
Online ISBN: 978-3-642-04954-5
eBook Packages: Computer ScienceComputer Science (R0)