An Indexing Method for SNS Data Based on NoSQL


KIPS Transactions on Software and Data Engineering, Vol. 19, No. 4, pp. 271-280, Apr. 2012
10.3745/KIPSTD.2012.19.4.271, Full Text:

Abstract

Currently, contents generated by SNS services are increasing exponentially, as the number of SNS users increase. The SNS is commonly used to post personal status and individual interests. Also, the SNS is applied in socialization, entertainment, product marketing, news sharing, and single person journalism. As SNS services became available on smart phones, the users of SNS services can generate and spread the social issues and controversies faster than the traditional media. The existing indexing methods for web contents have limitation in terms of real-time indexing for SNS contents, as they usually focus on diversity and accuracy of indexing. To overcome this problem, there are real-time indexing techniques based on RDBMSs. However, these techniques suffer from complex indexing procedures and reduced indexing targets. In this regard, we introduce the TK-Indexing method to improve the previous indexing techniques. Our method indexes the generation time of SNS contents and keywords by way of NoSQL to indexing SNS contents in real-time.


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Cite this article
[IEEE Style]
D. K. Baik, H. N. Shim, J. D. Kim and K. S. Seol, "An Indexing Method for SNS Data Based on NoSQL," KIPS Journal D (2001 ~ 2012) , vol. 19, no. 4, pp. 271-280, 2012. DOI: 10.3745/KIPSTD.2012.19.4.271.

[ACM Style]
Doo Kwon Baik, Hyung Nam Shim, Jeong Dong Kim, and Kwang Soo Seol. 2012. An Indexing Method for SNS Data Based on NoSQL. KIPS Journal D (2001 ~ 2012) , 19, 4, (2012), 271-280. DOI: 10.3745/KIPSTD.2012.19.4.271.