Technique for Concurrent Processing Graph Structure and Transaction Using Topic Maps and Cassandra


KIPS Transactions on Software and Data Engineering, Vol. 1, No. 3, pp. 159-168, Dec. 2012
10.3745/KTSDE.2012.1.3.159, Full Text:

Abstract

Relation in the new IT environment, such as the SNS, Cloud, Web3.0, has become an important factor. And these relations generate a transaction. However, existing relational database and graph database does not processe graph structure representing the relationships and transactions. This paper, we propose the technique that can be processed concurrently graph structures and transactions in a scalable complex network system. The proposed technique simultaneously save and navigate graph structures and transactions using the Topic Maps data model. Topic Maps is one of ontology language to implement the semantic web(Web 3.0). It has been used as the navigator of the information through the association of the information resources. In this paper, the architecture of the proposed technique was implemented and design using Cassandra - one of column type NoSQL. It is to ensure that can handle up to Big Data-level data using distributed processing. Finally, the experiments showed about the process of storage and query about typical RDBMS Oracle and the proposed technique to the same data source and the same questions. It can show that is expressed by the relationship without the ``join`` enough alternative to the role of the RDBMS.


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Cite this article
[IEEE Style]
J. H. Shin, "Technique for Concurrent Processing Graph Structure and Transaction Using Topic Maps and Cassandra," KIPS Transactions on Software and Data Engineering, vol. 1, no. 3, pp. 159-168, 2012. DOI: 10.3745/KTSDE.2012.1.3.159.

[ACM Style]
Jae Hyun Shin. 2012. Technique for Concurrent Processing Graph Structure and Transaction Using Topic Maps and Cassandra. KIPS Transactions on Software and Data Engineering, 1, 3, (2012), 159-168. DOI: 10.3745/KTSDE.2012.1.3.159.